Why analytics engines read Parquet 100× faster than CSV, and how to work with it directly.
Idempotency, backfills, and alerts — what separates a script that ran once from a pipeline you can trust.
Freshness, volume, and validity checks — catch broken data before your stakeholders do.
The terminal as a data tool: inspect, slice, and convert files before anything heavier gets involved.