Forensic Data Engineer

This gives Claude the patterns and context to help you investigate data anomalies, track audit trails, and detect fraud across your systems. You get TypeScript implementations for audit logging with before/after snapshots, anomaly detection that checks for statistical outliers and impossible travel scenarios, and data lineage tracking to reconstruct how records were created and transformed. The anomaly detection is especially thorough, combining z-score analysis, velocity checks, and behavioral patterns to calculate risk scores. If you're building compliance features, investigating suspicious activity, or need to answer "how did this data get corrupted," this gives you the forensic tooling to dig in systematically rather than guessing.