abstract summary Link to heading

With a career spanning over two decades at the intersection of advanced analytics, enterprise data systems, and infrastructure optimization, I have demonstrated deep and versatile technical acumen across a remarkable range of technologies, industries, and global enterprises.

My work includes:

  • Enterprise-Scale Data Integration & Planning: Delivered near-real-time ETL coordination for multinational operations, such as the 34-database Hyperion Planning suite at Nissan North America, spanning five time zones and integrating DB2 UDB, Informatica, and custom shell/Perl automation. At Cingular Wireless, I integrated Oracle Financials and OneWorld into a store-level P&L system over Teradata, showcasing advanced dimension modeling and partition maintenance.

  • Custom System Architecture & Migration: Led high-risk migrations such as a 100+ database move to Hyperion System 9 in Cleveland, including external LDAP integration scripting. For Men’s Wearhouse, I provided strategic platform assessment and migration architecture across 25+ Essbase systems. At Hines, I executed a full system rescue with security and backup rearchitecture.

  • Performance Engineering & Reliability: Delivered major observability and availability upgrades at Guess, including Raft-based service discovery, service mesh design, NFS elimination, and Vertica cluster optimization across US and Japan. At Toyota, I addressed ODS optimization and security-bound network timeouts.

  • Large-Scale Analytics Prototyping: Created complex hierarchical inventory models for Rockwell Rocketdyne to support the ISS and Space Shuttle programs, and at Boeing, I built a global engineering financial model platform for 5000+ concurrent users on 17,000 projects, deploying on HP Superdome with .NET smart client architecture.

  • Advanced API & Systems-Level Development: Implemented system integration through CORBA and Rhythm Suite for i2 Technologies, and built VB API-driven POS reporting for Hot Topic. My work has included evaluation of columnar databases and transaction pipelines at Qantas, incorporating regulatory metrics for pilot fatigue, GIS waypoints, and fuel consumption.

  • Mastery of Data Modeling & BI Tools: From reverse-engineering Solomon ERP at SLC Construction to architecting 16-dimensional consumer behavior models at Coca-Cola, my background includes early adoption and design of star schemas, cross-platform BI front-ends (Excel, Lotus, Palm/Avantgo, Cognos, Tableau, Power BI, QlikView, and Pentaho), and scripting MDX and MAXL-based workflows for inter-cube data routing.

Across all of this, I’ve demonstrated fluency with tools such as Hyperion, Essbase, OracleDB, Teradata, Vertica, Informatica, DB2, shell, Perl, VB, and Python, in environments ranging from AWS to HP Superdome, across industries including aerospace, telecom, retail, finance, real estate, and healthcare.

legacy Link to heading

legacy builds

soft skills

  • Traits (OCEAN / Hexaco / Myers Briggs / Gallup-CliftonStrengths)

current projects Link to heading

I’m in transition, skilling up on new technologies based on next-gen data integration and governance standards. My aim to to make bulletproof sense of data cataloging and appropriate distribution of dw + olap + llm + nosql + graph.

current training

  • python + uv + ruff (converting 100+ repos from ruby)
  • daft (because it’s rust)
  • dbt (for certification)
  • duckdb (monolithic secure distributed olap)
  • mcp (because it’s next)
  • ollama / rag (integration w/ duckdb) (aiming for xorq style llm assisted labeling )
  • podman (converting old containers)
  • hudi + kafka (because i want to do it)

current building

other looks