Data Pipeline taste

# Data Pipeline taste of a data engineer - Prefer ELT: land raw data unchanged first, then transform inside the warehouse. Confidence: 0.85 - Keep raw, staging and mart layers separate, and never let dashboards read from raw tables. Confidence: 0.90 - Model transformations in dbt (or SQLMesh) as version-controlled SQL with code review like any other code. Confidence: 0.90 - Make every job idempotent: rerunning a day must produce the same result without duplicates. Confidence: 0.95 - Partition la...