Principal Data Engineer
F1 Analytics: Post-Race Engineering Analysis Platform
A Formula 1 platform in development for post-race engineering analysis, with evidence-led pace, teammate, tyre and race-execution views.
F1 Analytics: Post-Race Engineering Analysis Platform
Data Engineering & Analytics
Python • PostgreSQL • FastF1 • pandas • SQLAlchemy
Nov 2024 – Present
What actually shaped the race, and which laps support that conclusion? F1 Analytics is a post-race engineering analysis platform being built around those questions. Its Race Debrief and Season Index are designed to bring pace, teammate comparison, tyre degradation and race execution into one navigable view, with the underlying evidence available to inspect. I have engineered the foundation around FastF1 timing, telemetry, weather, track status and race-control data, a season-partitioned PostgreSQL model, transactional loading and resumable backfills. The evidence layer preserves lap validity, purpose, physical-ahead traffic and source lineage, while separate eligibility rules determine what each analysis can use. The next stages connect that foundation to matched comparisons, effect estimates, uncertainty and the dashboard itself. The goal is a briefing that makes a race easier to understand and every analytical conclusion easier to defend.