mdcbowen

Mon, 01 Jan 0001 00:00:00 +0000

Abstract Link to heading

I am actively engaged in extending my data engineering and bi development with emerging AI protocols.

Warp integration (Sonnet 4, OpenAI 03-mini planning)
Anthropic MCP Inspector (python FastMCP)
Local ollama (0.6.8) (gemma3:27b, gemma3:latest)
Zed Agent (primary)
React & Vue Web development (Sonnet 4)
DuckDB prototyping (DeltaLake)

DE Aim Link to heading

My aim is to use OpenMetadata (or Collate) to clarify the integration of traditional with new agentic data pipelines.

Mon, 01 Jan 0001 00:00:00 +0000

the best clients & why Link to heading

Philip Morris, NYC

The most well-managed, highly talented, no-nonsense business oriented customer I have ever worked with.

Full360, Cornelius NC

Sharpest CTO, fabulous work environment, forward looking

Com Edison, Chicago

Most technically proficient IT staff.

Qantas, Sydney

Forward looking, risk taking in software, highly secure & redundant implementations.

Gap, NorCal

Most tactically motivated, well-understood problem definitions.

Nielsen, Dunedin

Mon, 01 Jan 0001 00:00:00 +0000

boeing cps rehost proposal Link to heading

Bowen was the technical lead for a proposal to Boeing. He designed the architecture and RFP for a proposed system that replace the current cost planning system for all of Boeing’s commercial and classified projects. This system was proposed for 5,000 users worldwide and would involve on the order of 17,000 active multidimensional models on an annual basis. Bowen worked with Answerthink’s sales team in conjunction with Hyperion and another vendor that he brought into the solution. Ultimately Answerthink won selection which took place over 14 months and originally included 12 vendors. Boeing decided however not to immediately build the system because of budget constraints.

Mon, 01 Jan 0001 00:00:00 +0000

Jobber: An Agentic Job Search Platform Link to heading

The modern job search is a grinding, repetitive process — sifting through alert emails, cross-referencing requirements against your own experience, tailoring resumes, and making go/no-go decisions dozens of times a week. Jobber is an agentic AI platform that automates the mechanical parts of this workflow while preserving human judgment where it matters most. It also serves as a demonstration of end-to-end system design: structured AI agent orchestration, idempotent data pipelines, and a purpose-built review interface — all written in Go against PostgreSQL.

Mon, 01 Jan 0001 00:00:00 +0000

Jobber: An Agentic Job Search Platform Link to heading

Project Summary Link to heading

Jobber is a multi-stage, AI-agent-driven platform that automates the full lifecycle of a professional job search — from harvesting listings out of email alerts, through intelligent triage and application packaging, to human-in-the-loop curation via a custom web console. The system is composed of three tightly integrated subsystems, each purpose-built to eliminate manual overhead while preserving human judgment where it matters most.

Mon, 01 Jan 0001 00:00:00 +0000

METRO: Practice Engineering and Data Governance Tooling Link to heading

Executive Summary Link to heading

METRO is a practice engineering initiative that codifies data engineering methodology, AI-assisted development frameworks, and web design standards into executable tools and auditable documentation. Its most significant technical artifact is md-util, a Go CLI that transforms raw data assets from disparate sources into SHACL 1.2 ontology representations and emits dialect-specific DDL for Postgres, BigQuery, Databricks, Parquet/Arrow, and Vortex — solving the schema synchronization problem across heterogeneous data environments with a single canonical model. Together, METRO and md-util demonstrate end-to-end system design from strategic framing through specification to working software.

Mon, 01 Jan 0001 00:00:00 +0000

tiingo portfolio tracker Link to heading

A Go-based application that automatically fetches market data from the Tiingo API and stores it in a local DuckDB database. Track stocks and cryptocurrencies with automated daily syncing via Kafka messaging architecture.

Overview Link to heading

This application reads a portfolio of ticker symbols from a text file, fetches historical and current market data from Tiingo, and maintains a local DuckDB database for fast querying and analysis. The application uses a Kafka-based architecture for decoupling API fetching from database persistence, providing idempotency, auditability, and scalability.

bondcliq

Mon, 01 Jan 0001 00:00:00 +0000

bondcliq

This is currently a private project.

But basically what I’m doing is tooling a set of Go based libraries of custom metrics for the analysis of commercial bonds.

McCauley Duration
McCauley Convexity
Yeild to Maturity

Cymer/ASML

Mon, 01 Jan 0001 00:00:00 +0000

Cymer/ASML Link to heading

As the lead data engineer for a high-visibility engagement with Cymer (a division of ASML), I was tasked with executing a structured technology evaluation of Amazon Redshift as a candidate to replace a legacy Microsoft SQL Server (MSSQL) data warehouse. The client provided an extensive test plan, including performance benchmarks and reproducibility criteria, for which I was responsible for both implementation and interpretation.

Full 360 Major Projects

Mon, 01 Jan 0001 00:00:00 +0000

Full360 cv

Full 360 Major Projects Link to heading

Shortlist

Customer	What I Did	What Was Delivered
3Com: Santa Clara, CA	Salesforce Automation – Trial Weekly worldwide product sales analysis. SFA for 1200 users worldwide. Multiple front-ends design – Excel, Lotus, Analyzer, Avantgo Server /Palm integration using Hyperion Spiderman. Extended POC management and design win over 2 competitors	Won 8 week trial for $1.5 million deal.
SLC Construction	Design & development of cash-sensitive planning & reporting model for construction & real-estate contractor. Solomon integration. Large number of driver based metrics and KPIs	Reverse engineered Solomon ERP
Cingular Wireless: Alpharetta, GA	Store Level P&L – Multiple ERP Built Store & Channel profitability on 5000- member COA. Integrated store attribute dimensions. Sourced from Oracle Financials - One World. Oracle - Teradata backends. Extensive scripting and automation of replicated partition maintenance.	Implemented in record time, < 6 weeks.
Cleveland, OH	Large Scale Migration – Systems Inventory High level coordination of large upgrade to System 9 and migration of 100- Essbase databases. Custom scripting for transfer of native security to multiple LDAP external authentications via Hyperion Shared Services CLI tools.	Rubric Based Mgmt
I2 Technologies Las Colinas, TX	Supply Chain Analytics – Custom Models Custom data integration with Rhythm suite for SCM analytics product prototype. Reading of supply chain BOM. Investigation of CORBA interfaces.	API Level analysis, PhD customers
Men’s Wearhouse Houston TX	System Performance Review – Strategic Technology Extensive assessment for strategic upgrade & cross-platform migration of 25- Essbase databases and associated reporting systems. Established use case and produced weighted recommendations for performance & reliability.	All analysis, end to end. Systems review.
Boeing Federal Way, WA	Global Project Planning – Massive Scale Global engineering project-based cost management system. Custom built Essbase designs for 64bit Superdome application with full .NET smart client custom design. RFP winning design over 15 competitors. Designed for 5000 concurrent users on 17,000 financial models. Extended POC coordinated with multiple partners including HP Cupertino & Applied OLAP.	Las Vegas Presentation, Applied OLAP
Nissan: Los Angeles, CA	North American Regional DW Planning – ETL Coordination Total 34 Essbase databases, 17 under Hyperion Planning Near realtime asynchronous DW ETL interface for multiple Essbase datamarts. Five timezones. P/L , B/S, others independent. Intercube data transfer plus rerouting of Essbase data back to DW. IBM Regatta / DB2 UDB plus Informatica backend with custom ksh & perl integration with MAXL.	Complex SLA, workflow
Qantas: Sydney AUS	Flight Operations - Transaction Re-engineering Ingested legacy transaction & VLDB systems to support generation of complex metrics associated with fuel consumption, pilot fatigue. Regulatory compliance with work-rules design established in the new system. Columnar DB, AWS data migration. Near realtime processes.	Realtime & Wide data,
Coca Cola: Atlanta GA	High Dimensionality – Customer Sampling 16 Dimensional model on consumer buying and consumption pattens.	Deep analytics
Rockwell Rocketdyne: Canoga Park, CA	BOM Inventory – Custom built hierarchical model for ISS launch package inventory. Weight calculations for all subsystems.	Space Shuttle
Hot Topic: Industry, CA	Retail Loyalty – VB Integration Built integrated POS reporting system distributed daily from all store locations to managers.	Custom VB API
Qantas: Sydney	FRMS – Waypoint Navigation
Toyota: Los Angeles, CA	Essbase - OracleDB Integration OLAP - DW drilldown integration. Spec’d ODS for Olap drillthrough Added new security for DW detail. Resolved timeout issues across network & queries.	Network timeout troubleshooting, security limitations, ODS Optimization
BCBS: Providence, RI	Capitation Analytics Essbase datamart design to track diagnosis, doctor, prescription.	First such system in BCBS
Hines: Houston, TX	REIT - Rescued broken database missing backups. Reorganized functional staff procedures. Implemented new backup & security procedures.	Excel-based spaghetti, no security.
Guess: Los Angeles, CA	Cluster Availability Increased reliability adding Raft-based service discovery service mesh. Instrumented observability, Performed database optimization, load metrics. Rid NFS backup.	Five Vertica clusters, US - Japan.
Teva Pharma NYC	Database Performance & Migration Performed all DBA functions for multi-schema datamodel including Veeva, S3 based customer submissions, query performance monitoring & tuning, QA -> PROD, daily multistage ingestion & transformation, salesforce integration.	Massive complexity

Full Technical Employment History

Mon, 01 Jan 0001 00:00:00 +0000

Full Technical Employment History Link to heading

updated 2025-08

Company	HQ	Position	Start	End
Bachelor Chemical	Whittier, CA	High School Intern	1978	1978
Health Department	Los Angeles, CA	Intern	1982-06	1982-12
Xerox Corp	El Segundo, CA	Summer Intern x3	1984	1986
Xerox Corp	El Segundo, CA	Programmer / Analyst	1987-07	1990-12
Pilot Software	Cambridge, MA	Sr Consultant / Support Mgr.	1990-12	1994-06
Metro Decisions	Atlanta, GA	President	1994-06	1996-10
Arbor / Hyperion	Sunnyvale, CA	Sr. Consultant / BizDev	1996-09	2001-06
Metro Decisions	Redondo Beach, CA	President	2001-06	2005-06
Hackett Group	Miami, FL	Managing Consultant	2005-04	2007-10
Solver	Los Angeles, CA	VP Services	2007-10	2008-06
WhitmanHart / Rolta	Alpharetta, GA	Sr. Mgmt. Consultant	2008-06	2010-11
Full 360	Charlotte, NC	Lead Data Architect	2011-01	2021-06
OpenText	Waterloo, ON	Sr. Solutions Architect	2021-06	2024-05
Darwin Analytics	Phoenix, AZ	Lead Data Engineer	2024-05	2024-10
Metro Decisions	Los Angeles, CA	President	2024-11	Present

Git Repositories Inventory

Mon, 01 Jan 0001 00:00:00 +0000

Git Repositories Inventory Link to heading

Abstract Link to heading

Sometimes people ask me for a selction of Github repos. That has been a problem because I am restricted by NDA and basically never got in the habit of paying Github to hold all of this. So it wasn’t until I got a 4TB workstation that I could keep all of my work in one development library. I consolidated all of that over the past year, and I now host my own Gitlab server, so at least you can see that I’ve been busy over the years. (VEGA is Vertica stuff)

golfbag

Mon, 01 Jan 0001 00:00:00 +0000

golfbag Link to heading

status – finished linear regression (2025-09-17)

🏌️ 12-Week ML + ETL Curriculum (Golf Bag Training) Link to heading

This curriculum covers 12 canonical ML categories (the “golf bag”) with ETL practice.
Each week introduces a dataset, ETL tasks, and ML goals. Use this as a checklist in Obsidian.

📅 Week 1: Linear Regression Link to heading

Dataset: California Housing (scikit-learn)
ETL Tasks:
- Load CSV, validate schema
- Handle missing values
- Normalize numeric fields
ML Tasks:
- Train/test split
- Fit linear regression
- Interpret coefficients

📅 Week 2: Logistic Regression Link to heading

Dataset: Breast Cancer Wisconsin
ETL Tasks:
- Encode categorical features
- Scale inputs
ML Tasks:
- Train binary classifier
- Evaluate with ROC, precision, recall

📅 Week 3: Decision Trees Link to heading

Dataset: Iris Dataset
ETL Tasks:
- Basic EDA (histograms, scatter plots)
- Verify balanced classes
ML Tasks:
- Build decision tree
- Visualize splits
- Observe overfitting

📅 Week 4: Random Forests Link to heading

Dataset: UCI Adult / Census Income
ETL Tasks:
- Encode categorical features
- Impute missing values
- Balance classes
ML Tasks:
- Train random forest
- Measure feature importance
- Compare to logistic regression

📅 Week 5: K-Means Clustering Link to heading

Dataset: MNIST Digits (scikit-learn or full MNIST)
ETL Tasks:
- Flatten images → tabular form
- Apply PCA for preprocessing
ML Tasks:
- Run K-Means (k=10)
- Visualize clusters
- Evaluate with silhouette score

📅 Week 6: PCA (Dimensionality Reduction) Link to heading

Dataset: UCI Wine Dataset
ETL Tasks:
- Normalize features
- Check correlations
ML Tasks:
- Run PCA
- Plot explained variance
- Create 2D scatter plot

📅 Week 7: Neural Networks (MLP) Link to heading

Dataset: MNIST Digits
ETL Tasks:
- Normalize pixel intensities
- Train/val/test split
- Manage batch sizes
ML Tasks:
- Build 2-layer MLP
- Compare accuracy to logistic regression

📅 Week 8: CNN (Convolutions) Link to heading

Dataset: CIFAR-10
ETL Tasks:
- Resize and augment images
- Split train/val/test
ML Tasks:
- Build CNN with conv + pooling
- Apply dropout
- Compare to transfer learning

📅 Week 9: RNN / LSTM (Sequences) Link to heading

Dataset: Shakespeare Corpus (tiny) or IMDB Reviews
ETL Tasks:
- Tokenize sequences
- Pad to fixed length
- Manage vocabulary size
ML Tasks:
- Train LSTM
- Predict next char / classify sentiment

📅 Week 10: Transformers (BERT) Link to heading

Dataset: SST-2 Sentiment Treebank
ETL Tasks:
- Tokenize with HuggingFace
- Create train/dev/test splits
ML Tasks:
- Fine-tune BERT
- Evaluate F1 score
- Compare to LSTM baseline

📅 Week 11: Reinforcement Learning (Q-Learning) Link to heading

Dataset/Env: OpenAI Gym CartPole
ETL Tasks:
- Log state/action/reward data
- Define schema for episodes
ML Tasks:
- Train Q-learning agent
- Plot reward curve
- Test convergence

📅 Week 12: Anomaly Detection Link to heading

Dataset: Kaggle Credit Card Fraud Detection
ETL Tasks:
- Handle extreme class imbalance
- Scale features
- Stratified train/test split
ML Tasks:
- Train Isolation Forest
- Compare to Autoencoder
- Evaluate precision@k

📝 Notes Link to heading

Each week: spend equal time on ETL and ML — good pipelines make models shine.
Keep notebooks + scripts versioned (Git).
Optional stretch goal: orchestrate pipelines (Airflow, Dagster, Prefect).
Track experiments: MLflow, Weights & Biases, or simple CSV logs.

Guess Vertica Infrastructure Project

Mon, 01 Jan 0001 00:00:00 +0000

Guess Vertica Infrastructure Project Link to heading

This engagement involved comprehensive Vertica database infrastructure work for Guess Inc., spanning multiple areas including system monitoring, backup strategies, disaster recovery planning, and operational optimization. The work included both hands-on implementation and strategic documentation.

Key Engagement Areas Link to heading

1. Vertica Cluster Management & Upgrades Link to heading

Cluster Inventory: Multiple Vertica clusters were managed including:

HEXACO

Mon, 01 Jan 0001 00:00:00 +0000

HEXACO Link to heading

item	Score
Honesty & Humility	5.41
Emotionality	2.51
Extraversion	5.47
Agreeableness	4.07
Conscientiousness	6.65
Openness	6.0

Extremes

Item	Score
Prudence	7.44
Inquistiveness	6.81
Sincerety	7.01
Organization	6.35

OCEAN Link to heading

Openness: Very High
Conscientiousness: Very High
Extraversion: Higher than Average
Agreeableness: Lower than Average
Neuroticism: Very Low

Myers Briggs Link to heading

2017-05-21: ESTJ-A ‘Executive’

How Hard Can It Be?

Mon, 01 Jan 0001 00:00:00 +0000

how hard can it be?

abstract Link to heading

Occasionally, a recruiter (or recruiter-bot) asks me if I have ‘a particular set of skills’ that they are looking for. Here’s the answer: Probably. What does ‘probably’ mean?

I have done most of the things that there are tools for prior to the reliable invention of that tool.
OR it is a tool that I used to use more than 10 years ago.
OR it means my employer has considered that me doing something on that tool is a waste of their money - in which case they pass this to a junior or cut it from the budget.
OR it means I’ve used a tool similar to it, but not the exact same tool, but generally that could not be my focus.

So here is a list of tools that I have used, but never mastered, but never needed to master. In any case, my attitude is, if the tool doesn’t actually suck, how hard can it be?

men's warehouse, houston tx

Mon, 01 Jan 0001 00:00:00 +0000

men’s warehouse, houston tx Link to heading

Background:

TMW systems folks are spending too much time on maintenance and don’t have enough time. They have inherited a number of systems and were not entirely aware of the reasons for many design decisions. Because of the high maintenance of these systems they have not had time for a comprehensive review.

Hyperion systems have not been upgraded since their installation. TMW is using applications which are 2-3 years out of date.

meta prompt

Mon, 01 Jan 0001 00:00:00 +0000

meta prompt

Following the models of Nate B. Jones, I’m making a library of prompts and meta prompts like the following. I will be making several that follow my design and build methodologies, like Design For Analysis. This will speed up my design work, specific to SOWs.

You are helping me [PRIMARY OUTCOME]. This is a structured exercise, not a casual brainstorming session.

CONTEXT:

Primary subject: [SUBJECT/ASSET/DECISION]
Scope: [BOUNDS OF WORK]
Constraints: [KEY CONSTRAINTS]
Success definition: [HOW WE WILL JUDGE SUCCESS]

FRAMEWORK:

Michael Bowen – Curriculum Vitae

Mon, 01 Jan 0001 00:00:00 +0000

Michael Bowen – Curriculum Vitae Link to heading

Essbase + BI Details Link to heading

3Q2002

Background Link to heading

I would like to elaborate on my Essbase & BI experience.

I first began using Essbase in 1996 when I hired on to Arbor Software as a post-sales consultant. I handled engagements for the Southeastern US for Arbor’s own consulting group. Previous to this work, I had been doing design and implementation of DB2 and Oracle star schemas for 6 years and working with Pilot Software’s multidimensional database, Time Server. So before I even laid eyes on Essbase, I had years of multidimensional database design experience. I instantly realized the potential of this database.

names

Mon, 01 Jan 0001 00:00:00 +0000

names Link to heading

Believe it or not, the most interesting thing for me in programming is solving a business problem. Other than sodoku and sushi selections, I’m really not into solving puzzles for the sake of the puzzle. And I got into the bad habit of not trusting machines. So while it has always been fascinating for me to see my code process correctly, I actually prefer kudos from the people whose decision work I assist. Thus it’s easier for me to remember the places I’ve worked as a consultant and what those people were all about, than the code and documents I’ve created along the way.

nissan cdp

Mon, 01 Jan 0001 00:00:00 +0000

nissan cdp Link to heading

Semi-concurrently with the Boeing deal, Bowen served as lead architect for the expansion of Nissan’s Worldwide Financial Planning system. This entailed the design, separate from re-bid and implementation of a system that would include integration with the North American Data Warehouse for all budgeting and planning for Nissan North America’s 18 dimensional financial codeblock. Bowen built the backend in ksh and Perl to supply asynchronous feeds to 37 synchronized Essbase cubes. As well he supervised the transition of this system to the offshore support team.

PG Stuff

Mon, 01 Jan 0001 00:00:00 +0000

pg stuff

abstract Link to heading

I’m looking at the world of PostgreSQL and how it can be used to solve problems in the financial industry but also its integration with DuckDB, which could be a replacement for SingleStore. I also want to understand the alleged weakness of its data layer.

Why? Because I am hosting it at home and want to see if pg_lakehouse works with MinIO. Also I might want to store documents for AI integrations.

philip morris

Mon, 01 Jan 0001 00:00:00 +0000

philip morris Link to heading

Bowen led the design and implementation of a market share system for all industry brands of cigarettes. This included database (DB2) and a custom scratch-built front-end. The front-end was designed with a dynamic SQL building code based on the navigation set on the star schema. This allowed for 50 concurrent users on Macintosh. Working with an economist, Bowen integrated custom confidence intervals which led to the significant decision of Philip Morris to discount Marlboro in order to gain market share.

qantas frms

Mon, 01 Jan 0001 00:00:00 +0000

qantas frms Link to heading

abstract Link to heading

Bowen served as lead architect for migration, redesign and build of Qantas’ Flight Risk Management System (FRMS). This required realtime integration of Jeppesen subsytems and Teradata DW and implementation of complex business rules based on the guidelines established by the Australian Civil Aviation Safety Authority (CASA) and the Australian and International Pilots Association (AIPA). This system provided data from all shorthaul and longhaul flights 24/7.

rolta cv - dec 2010

Mon, 01 Jan 0001 00:00:00 +0000

rolta cv - dec 2010 Link to heading

Qualifications Link to heading

Michael Bowen is a Sr. Management Consultant with TUSC. He is an IT professional with over 20 years of experience in building and architecting DW and EPM solutions. He has significant experience with the Hyperion product line beginning with their core technologies in 1996. His strengths include custom & financial applications of Essbase and Hyperion Planning. Working in the Enterprise Performance Management practice at TUSC, his focus has been on technical leadership in architecture and hands-on delivery.

southwall homelab

Mon, 01 Jan 0001 00:00:00 +0000

southwall homelab Link to heading

Southwall Link to heading

Southwall is my homelab. It consists of four linux servers, two mac servers, two Synology NAS devices, Ubiquiti network devices and about 50TB of storage.

My aim is to create and maintain a comprehensive development environment connected to major cloud providers and essentially do all DevOps on my own without the assistance of SREs. So I’ll be doing my own site reliability with AI assistance. I am also running S3 services on AWS, websites hosted on Dreamhost, and probably a bunch of other stuff I forgot.

Teva Project Work Summary

Mon, 01 Jan 0001 00:00:00 +0000

Teva Project Work Summary Link to heading

Executive Summary Link to heading

The Teva project involved extensive work on a comprehensive data analytics platform built primarily on Vertica database infrastructure with cloud-based ETL processes, performance benchmarking, and automated data collection systems. The work spanned multiple domains including database infrastructure, data migration, stream processing, monitoring systems, and performance optimization.

Major Project Components Link to heading

1. Database Infrastructure & Migration Link to heading

Vertica Cluster Management: Implemented and managed EON mode Vertica clusters across QA and Production environments
Schema Migration: Executed multiple phases of data migration including “first-migration”, “march-migration”, and “third-migration” projects
DDL Management: Comprehensive database schema management through the vertica-ddl and duck-ddl projects
Performance Testing: Extensive TPC-DS benchmark testing with S3 object storage compatibility testing

2. ETL & Data Processing Infrastructure Link to heading

Stream Processing: Built multiple Ruby-based streaming applications:
- ftp-file-producer: FTP file processing and ingestion
- s3-file-producer: S3-based file processing
- salesforce-extract: Salesforce data extraction pipeline
- sneaql-transform: Data transformation workflows
- ingestion-consumer: Data ingestion processing

3. Data Collection & Monitoring Systems Link to heading

Data Collector Tables (dc_tables): Python-based system for processing Vertica data collector metrics
- Automated S3 data retrieval and processing
- Focus on 5 key metrics: RequestsIssued, RequestsCompleted, ResourceReleases, Errors, ResourceAcquisitions
- Template-based SQL generation and execution
CloudWatch Integration: Metrics collection and monitoring setup
Control Tables: HPS control table management system

4. Performance & Benchmarking Link to heading

TPC-DS Benchmarking: Comprehensive performance testing framework
- 3-node Vertica EON clusters with 32 CPUs, 256GB memory per node
- S3 object storage compatibility testing
- Multiple data size configurations (10GB to 5TB)
- Concurrent user load testing (1-30 users)
- Depot on/off performance comparisons
Performance Analysis: Detailed performance metrics collection and analysis
Resource Pool Management: Database resource optimization

5. Cloud Infrastructure & DevOps Link to heading

Terraform Infrastructure: Complete infrastructure as code implementation
AWS Integration: Extensive use of AWS services (S3, ECS, DynamoDB, CloudWatch)
Container Orchestration: Docker-based application deployment
Security Management: Encrypted secrets management using Biscuit
Environment Management: Multi-environment setup (DEV, QA, PROD)

6. Support & Maintenance Systems Link to heading

Automated Workflows: Various automation scripts and utilities
Troubleshooting Tools: Comprehensive diagnostic and monitoring tools
Backup & Recovery: S3-based backup and restore procedures
Database Maintenance: Automated maintenance tasks and monitoring

Key Technical Achievements Link to heading

Database Performance Link to heading

Successfully implemented and tested Vertica EON mode with S3 object storage
Achieved performance benchmarks with TPC-DS queries across multiple concurrency levels
Implemented automated backup/restore procedures with S3 integration
Database revive functionality for disaster recovery scenarios

Data Processing Pipeline Link to heading

Built scalable ETL infrastructure capable of processing various data sources
Implemented streaming data ingestion from FTP, S3, and Salesforce
Created automated data validation and error handling systems
Developed template-based SQL generation for dynamic data processing

Infrastructure Automation Link to heading

Complete infrastructure automation using Terraform
Multi-environment deployment capabilities
Automated scaling and resource management
Comprehensive monitoring and alerting systems

Data Migration Success Link to heading

Successfully migrated data across multiple phases
Implemented parallel processing for large-scale data operations
Created tools for schema comparison and validation between environments
Developed automated DDL generation and deployment processes

Project Files and Structure Link to heading

The project comprises over 40 major components including:

The Fundamentals

Mon, 01 Jan 0001 00:00:00 +0000

The Fundamentals Link to heading

Mike Bowen is a data architect & hands-on master practitioner in the decision support space. His experience is broad and deep.

Analysis, Design & Development
Project & Trials Management
Technical Sales & Business Development
Product Marketing & Product Management
Training & Technical Support
Communications & Presentations
Vision & Leadership

Career Outline Link to heading

Most of my career can be described in terms of project delivery to Fortune 1000 customers in the US over multiple generations of database and visualization software.

mdcbowen

Abstract Link to heading

DE Aim Link to heading

the best clients & why Link to heading

boeing cps rehost proposal Link to heading

Boeing CPS Link to heading

Jobber: An Agentic Job Search Platform Link to heading

Jobber: An Agentic Job Search Platform Link to heading

Project Summary Link to heading

METRO: Practice Engineering and Data Governance Tooling Link to heading

Executive Summary Link to heading

tiingo portfolio tracker Link to heading

Overview Link to heading

bondcliq

Cymer/ASML

Cymer/ASML Link to heading

Full 360 Major Projects

Full 360 Major Projects Link to heading

Full Technical Employment History

Full Technical Employment History Link to heading

Git Repositories Inventory

Git Repositories Inventory Link to heading

Abstract Link to heading

golfbag

golfbag Link to heading

🏌️ 12-Week ML + ETL Curriculum (Golf Bag Training) Link to heading

📅 Week 1: Linear Regression Link to heading

📅 Week 2: Logistic Regression Link to heading

📅 Week 3: Decision Trees Link to heading

📅 Week 4: Random Forests Link to heading

📅 Week 5: K-Means Clustering Link to heading

📅 Week 6: PCA (Dimensionality Reduction) Link to heading

📅 Week 7: Neural Networks (MLP) Link to heading

📅 Week 8: CNN (Convolutions) Link to heading

📅 Week 9: RNN / LSTM (Sequences) Link to heading

📅 Week 10: Transformers (BERT) Link to heading

📅 Week 11: Reinforcement Learning (Q-Learning) Link to heading

📅 Week 12: Anomaly Detection Link to heading

📝 Notes Link to heading

Guess Vertica Infrastructure Project

Guess Vertica Infrastructure Project Link to heading

Key Engagement Areas Link to heading

1. Vertica Cluster Management & Upgrades Link to heading

HEXACO

HEXACO Link to heading

OCEAN Link to heading

Myers Briggs Link to heading

How Hard Can It Be?

abstract Link to heading

men's warehouse, houston tx

men’s warehouse, houston tx Link to heading

meta prompt

Michael Bowen – Curriculum Vitae

Michael Bowen – Curriculum Vitae Link to heading

Essbase + BI Details Link to heading

Background Link to heading

names

names Link to heading

nissan cdp

nissan cdp Link to heading

PG Stuff

abstract Link to heading

philip morris

philip morris Link to heading

qantas frms

qantas frms Link to heading

abstract Link to heading

rolta cv - dec 2010

rolta cv - dec 2010 Link to heading

Qualifications Link to heading

southwall homelab

southwall homelab Link to heading

Southwall Link to heading

Teva Project Work Summary

Teva Project Work Summary Link to heading

Executive Summary Link to heading

Major Project Components Link to heading

1. Database Infrastructure & Migration Link to heading

2. ETL & Data Processing Infrastructure Link to heading

3. Data Collection & Monitoring Systems Link to heading