- Built an end-to-end FinOps demo that ingests 90-day AWS Cost-Explorer data (or generates synthetic), transforms to KPI tables in DuckDB/Parquet, and serves insights via a public Streamlit dashboard. - Implemented incremental Polars, DuckDB pipeline that executes in ~1s and cuts storage > 3X versus input (column pruning, Snappy compression). - Designed KPI suite: cost-per-team, idle-compute %, forecast burn, anomaly score (±2 σ). - Automated CI/CD: unit tests and lint run on every commit via GitHub Actions, auto-build, and deploy dashboard.