sk Skill · martinholovsky
sota-data-engineering
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…
Open on skills.sh ↗read 2026-09-19
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