Credentials

Resume

Full work history, education, and technical skills.

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Summary

Data engineer with 3+ years at Microsoft on petabyte-scale ETL and financial reporting infrastructure. Two production apps and a published research project shipped in 2026.

Experience

Data Analyst

University of Virginia
May 2025 – March 2026
Charlottesville, VA
  • Reduced Tableau load times 20% via telemetry-driven performance monitoring — faster dashboard access for non-technical staff across all university departments.
  • Delivered analytics projects end-to-end across multiple departments: requirements through pipeline construction, dashboard delivery, and handoff.

Software Engineer — Data & Analytics

Microsoft
July 2021 – July 2024
Redmond, WA
  • Designed ETL pipelines in SQL and MDAX processing hundreds of petabytes of telemetry into structured datasets for financial reporting and operational decisions.
  • Built production dashboards for accounting staff and finance leadership driving financial operations decisions at Microsoft scale.
  • Led SSAS Multidimensional → Tabular migration: 200x faster filtering, 300% processing improvement; added automated incident generation, cutting on-call load.

Software Engineering Intern

Microsoft
Summers 2017 & 2018
Redmond, WA
Projects

Indigo Circuit

Production Web App — indigocircuit.app
May 2026 — ongoing
  • Python → Snowflake ingest pipeline with a dbt transformation layer producing player career stats, archetype win rates, and head-to-head records.
  • Seasonal ranking system on an ATP-style points formula — more accurate than the official CP system, which ignores field size entirely.

Social Vulnerability & Health Outcomes in America

Independent Research — Phase 1 of 4 published
May 2026 — ongoing
  • Joined CDC SVI and PLACES datasets across 73,000+ census tracts covering 313M people; ran correlation analysis between socioeconomic vulnerability and six chronic health outcomes.
  • Surfaced a 1.64x diabetes prevalence gap between high- and low-vulnerability tracts (15.6% vs 9.5%); documented methodology and a phased research agenda for reproducibility.

RareDex

Production Web App — rare-dex.com
May 2026 — ongoing
  • Built and shipped a production card scanner: photograph a Pokémon card on mobile, get the market price back instantly via computer vision. Live and actively used.
  • User correction loop turns every scan error into a labeled training signal — a data flywheel built into the product.
Education

B.S. Statistics and Data Science

Virginia Tech
2015 – 2021
Blacksburg, VA
Technical Skills
Languages
Python, SQL, R, Java, C, HTML, CSS
Data Engineering
ETL pipeline design, dbt Core, Snowflake, Azure Data Factory, Azure Data Lake, Azure Kusto, Apache Spark, Azure Databricks, SSAS Tabular
Analytics & Visualization
Tableau, Power BI, Pandas, NumPy, Matplotlib, Seaborn, statistical modeling, A/B analysis
Infrastructure & Tools
Git, Azure cloud suite, .NET / ASP.NET, REST APIs, Cloudflare, GitHub Pages
Data Science
Machine learning, regression and classification modeling, NLP, recurrent neural networks, signal processing, experimental design