Who I Am

About Me

A data and software engineer working from operational questions through production systems, analytics, and decision support.

The Long Version

I am a data and software engineer with four years of experience across enterprise reporting infrastructure at Microsoft and institutional analytics at the University of Virginia. I hold a B.S. in Statistics from Virginia Tech and am looking for my next full-time engineering role.

At Microsoft, I owned work on financial reporting systems: an SSAS Multidimensional-to-Tabular migration delivered with zero downtime, validation and operational support, automated financial-value reconciliation, and Azure-based reporting pipelines. Production telemetry and user reports showed up to 200x faster representative filtering and approximately 4x faster Excel loading.

At UVA, I owned Tableau analytics products from discovery through implementation, deployment, and support. That meant translating ambiguous operational questions into SQL-backed definitions and decision-support dashboards, while contributing to telemetry-informed work that improved organization-wide dashboard load times by approximately 20%.

Outside work, I build products and analytical systems that make the engineering choices inspectable: a DuckDB/dbt analytics platform, a census-tract health analysis, and full-stack web applications including Seekho and RareDex.

Experience

Data Analyst

University of Virginia
May 2025 – March 2026 · Charlottesville, VA
  • Owned Tableau analytics products for institutional stakeholders from discovery through implementation, deployment, and ongoing support.
  • Translated ambiguous operational questions into SQL-backed metric definitions and decision-support dashboards.
  • Collaborated on telemetry-informed performance work that improved organization-wide dashboard load times by approximately 20%.

Software Engineer — Data & Analytics

Microsoft
July 2021 – July 2024 · Redmond, WA
  • Migrated an internal financial reporting platform from SSAS Multidimensional to Tabular with zero downtime, owning implementation, telemetry, production validation, and operational support.
  • Extended automated financial-value reconciliation between the legacy and replacement systems, preserving correctness through the migration and improving data quality.
  • Reduced representative filtering latency by up to 200x and user-visible Excel loading time by approximately 4x, measured through production telemetry and user reports.
  • Built and maintained Azure-based financial reporting pipelines supporting business-critical planning and financial close operations.

Software Engineering Intern

Microsoft
Summers 2017 & 2018 · Redmond, WA
  • Built internal engineering tools supporting reporting infrastructure and developer workflows across multiple engineering teams.

Education

B.S. Statistics

Virginia Tech
2015 – 2021 · Blacksburg, VA