data-pipeline-playbook

Builds and reviews data pipelines across databases, files, REST APIs, and streams, with validated staging, watermarks and checkpoints, idempotent publication, transformations, orchestration, monitoring, and replay. Use when the user asks to "build an ETL job", "ingest API data", "set up incremental loads", "review a data pipeline", "add data quality checks", or "schedule a DAG". Not for unapproved production refreshes, or for claiming exactly-once delivery without a verified boundary.

Version

v1.0.1

Size

42 KB

Updated

2026-10-06

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