Individual skill

tool.data_engineering.55c8f35d7b3cac72

Data engineering practice patterns for data pipelines, ETL/ELT, orchestration, data quality, and infrastructure. Covers Airflow, Dagster, Prefect, Spark, dbt, data lakes, lakehouses, Iceberg, Delta Lake, warehouses (Snowflake, BigQuery, Databricks), streaming (Kafka, Kinesis, Flink), CDC, data contracts, data governance, data mesh, and batch processing. Use when reviewing or building data pipelines, ingestion systems, stream processing, data infrastructure, or data platform architecture. Do not use for SQL modeling or dbt projects (use analytics-engineering), business dashboards (use analytics), or ML model training (use data-science).

openart-tools/tool.data_engineering.55c8f35d7b3cac72/SKILL.md

Source commit addc45570f08cc047079f61e7e89f3e233cd17a9

What was checked

Matches the observed repository HEAD

Yes

Scanner rules are current

No

Repository scan complete

No

Skill scan complete

No

Observed behavior

Not checked yet

Last checked

Nov 7, 2026

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