PERSONNEL DOSSIER

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

EXECUTIVE SUMMARY

Retired U.S. Army Officer (Major) and Software Engineer with a Master's in Software Engineering and a proven track record of building foundational data architectures in ambiguous, high-stakes environments. Proficient across the stack — from systems-level C++ and Rust to full-stack Java and TypeScript applications to Python-driven data pipelines. Combines 18 years of operations leadership with rigorous engineering to deliver reliable, scalable solutions.

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

FORMAT: PDF | CLASSIFICATION: UNCLASSIFIED

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

GPA: 4.00 | Completed while serving as Brigade Operations Officer

2007–2010

BS Criminology — Niagara University

GPA: 3.39 | Completed while serving as enlisted soldier

CURRENT ASSIGNMENT — IBM (REMOTE)

ROLE: Data Engineer

PERIOD: April 2024 — Present

  • > Foundational Data Architecture: Architected and deployed a PostgreSQL data warehouse utilizing Kimball star schema, transitioning the program from a fragile read-replica setup to a highly reliable, scalable analytical environment.
  • > Pipeline Engineering: Designed and managed complex multi-step ETL pipelines using Databricks and SQL. Built modified ODS, dimension, and fact tables that drastically improved query speed, data accuracy, and reporting uptime.
  • > Self-Serve Analytics: Developed Streamlit applications and Tableau dashboards to enable self-serve insights for cross-functional teams and senior executives at the Department of Veterans Affairs.
  • > Bias for Action & Scale: Spearheaded data infrastructure for a new VA program, delivering initial solutions within 30 days. Engineered zero-query automated Slack alerts and processed 300+ data requests, reducing 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)

  • Directed operational planning and data integration for 5,000+ personnel
  • Designed automated Power BI pipelines connecting GCSS-A, IPPS-A, and DTMS
  • Built dashboards and statistical models for readiness, resourcing, and mission planning
  • Championed data governance initiatives ensuring compliance with security 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 | GPA: 4.00

Bachelor of Science, Criminology & Criminal Justice

Niagara University, New York | Sep 2007 – May 2010 | GPA: 3.39

Additional Coursework — Computer Science (30 credits)

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