Data Engineering · camilooscargbaptista
Data Engineering Review: Reviews data pipelines, ETL/ELT processes, data quality frameworks, data contracts, and data platform architecture. Covers batch and streaming pipelines, data lakes/warehouses, dbt, Airflow, Spark, data governance, and data observability. Use when the user mentions data pipeline, ETL, ELT, data warehouse, data lake, dbt, Airflow, Spark, data quality, data contracts, data mesh, Snowflake, BigQuery, Redshift, or any data infrastructure.
Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format
Category: Other — see all ranked ›
Install (Claude Code):
cp -r data-engineering ~/.claude/skills/- Adoption: 1 repos
Security audit
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source ↗ · skill:camilooscargbaptista/data-engineering
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Measured 2026-08-03 · scorer s5 · how · something wrong here?