State-of-the-art data engineering rules (2026) for building and auditing data pipelines and analytics infrastructure. Covers architecture and modeling (ELT, lakehouse vs warehouse, dimensional models, medallion layering), pipeline and orchestration discipline (idempotency, incremental loads, backfills, dbt-style transformations), streaming and CDC (Kafka, exactly-once reality, schema evolution, Debezium-style capture), data quality and contracts, columnar storage and table-format performance (Pa
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martinholovsky/sota-skills · 18 stars · license CC-BY-4.0 · pushed 2026-09-05 · branch main
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