PERSONNEL DOSSIER

> FILE: PERSONNEL // SUBJECT: UDELL, LUKE T.

> for the person behind the file, see /story/

OPERATING THESIS

The best compliment I've gotten at work is "I was able to figure it out from your documentation." That's the goal — whether it's a data warehouse, a deployment runbook, or a 9-VLAN home network with its own README.

I think the measure of good engineering is what happens when you leave. Can someone else run your pipeline? Deploy your service? Understand why you made that decision three months ago? That's what I optimize for — not cleverness, but clarity.

THE PATTERN — REPEATED

ARMY (2006–2024)

  • > MDMP planning templates for brigade-level operations
  • > Numbered SOP system with scheduled review cycles
  • > MA workbooks standardizing readiness tracking
  • > Wargaming matrices replacing ad-hoc planning
  • > Training calendars with institutional handoff procedures

ENTERPRISE (2024–NOW)

  • > Kimball star schema replacing fragile read-replicas
  • > Self-serve Streamlit dashboards for VA executives
  • > Zero-query automated Slack alerts
  • > Pipeline architecture documentation as deliverable
  • > 100K+ reporting backlog reduced to under 25K

THIS SITE

  • > 500-line engineering standards document governing all development
  • > Structured known-issues log — institutional debugging memory
  • > Config templates for single-command repeatable environment setup
  • > 900+ automated tests as quality documentation
  • > Every decision recorded in Architecture Decision Records
SERVICE RECORD
2024–NOW

Data Engineer — IBM

PostgreSQL data warehouse, Kimball star schema, Databricks ETL, Streamlit dashboards for VA executives

2006–2024

U.S. Army — Major (Retired)

E1→MAJ | Brigade Ops Officer, Company Commander, Plans Officer | Bronze Star Medal (OEF)

2021–2023

MS Software Engineering — Regis University

Completed while serving as Brigade Operations Officer

2016–2018

Computer Science (30 credits) — Regis University

Data Structures, Algorithms, Computational Foundations — pre-requisites for graduate program

2007–2010

BS Criminology & Criminal Justice, Minor in Military Science — Niagara University

Completed while serving as enlisted soldier

CURRENT ASSIGNMENT — IBM (REMOTE)

ROLE: Data Engineer

PERIOD: April 2024 — Present

  • > Data Architecture: Built a PostgreSQL data warehouse using Kimball star schema, replacing a read-replica setup that was breaking under reporting load.
  • > Pipeline Engineering: Designed multi-step ETL pipelines in Databricks and SQL. Built ODS, dimension, and fact tables to get query times, data accuracy, and reporting uptime where they needed to be.
  • > Self-Serve Analytics: Built Streamlit apps and Tableau dashboards so VA executives and cross-functional teams could get their own answers without filing a ticket.
  • > Delivery & Impact: Stood up data infrastructure for a new VA program within 30 days. Built zero-query automated Slack alerts and worked through 300+ data requests, helping reduce a 100K+ reporting backlog to under 25K.
PRIOR SERVICE — U.S. ARMY (2006–2024)

RANK: Major (O-4), Retired

PROGRESSION: Enlisted (E1–E5) → Commissioned Officer (2LT–MAJ)

Brigade Operations Officer / Senior Data Analyst (2021–2024)

  • Ran operational planning and data integration for a brigade of 5,000+ personnel
  • Built automated Power BI pipelines connecting GCSS-A, IPPS-A, and DTMS
  • Created dashboards and statistical models for readiness, resourcing, and mission planning
  • Wrote data governance standards to meet security and compliance requirements

Company Commander / Plans Officer (2016–2018)

  • Commanded 150+ soldiers, overseeing readiness, training, and welfare
  • Introduced data-driven readiness tracking, improving accountability and efficiency

AWARDS: Bronze Star Medal (OEF, 2012–2013) | 3× Meritorious Service Medals | Multiple Commendations

TECHNICAL CAPABILITIES

SYSTEMS & PERFORMANCE

C++, Rust

APPLICATION & BACKEND

Java, Spring Boot, TypeScript, JavaScript, Python

DATA ENGINEERING

SQL (PostgreSQL, MSSQL), dbt, Kimball Star Schema, Databricks, Snowflake, Redshift

DATA SCIENCE & ANALYTICS

Python (Pandas, NumPy), Statistical Analysis, Fuzzy Matching, Predictive Modeling

VISUALIZATION & SELF-SERVE

Streamlit, Tableau, Power BI, Metabase

INFRASTRUCTURE & DEVOPS

Docker, Git, Traefik, Nginx, Jenkins, Ansible

EDUCATION

Master of Science, Software Engineering

Regis University, Colorado | Sep 2021 – Oct 2023

Bachelor of Science, Criminology & Criminal Justice | Minor in Military Science

Niagara University, New York | Sep 2007 – May 2010

Additional Coursework — Computer Science (30 credits)

Regis University, 2016–2018 | Data Structures, Algorithms & Analysis, Computational Foundations

DOCUMENT ACCESS
> ./download_resume.pdf > ssh github.com/lukeudell > open linkedin.com/in/lukeudell

FORMAT: PDF | CLASSIFICATION: UNCLASSIFIED