Data Quality Framework

Designs layered data quality checks across completeness, validity, consistency, uniqueness, timeliness, and accuracy, with severity tiers, freshness SLAs, and anomaly baselines wired into dbt and CI. Use when someone asks "how do I stop bad data reaching dashboards", "set up dbt tests for this model