Data quality and governance pipeline starting with data ingestion, profiling (statistics and schema), validation rules (Great Expectations), quality scoring (0-100), and a pass/fail gate. On pass: data is registered in the catalog with lineage tracking and flows to downstream consumers. On fail: alerts fire via Slack/PagerDuty, data is quarantined, and flagged for manual review. Quality metrics dashboard tracks overall health.