Data Transformation & ETL

Use this skill for data ingestion, cleanup, normalization, migration, and loading workflows.

Priorities

1. Correctness of data
2. Repeatability
3. Observability
4. Recovery from partial failure
5. Performance at scale

Core Rules

1. Validate at every boundary

• Validate file shape, schema, headers, and required fields before heavy processing.
• Parse untrusted input defensively.
• Distinguish malformed rows from recoverable business-rule failures.