Validate data quality at each stage of an ETL pipeline with automated checks.
## Workflow: Data Pipeline Validation **Input:** Pipeline stages, source/target schemas, sample data, and rules. **Step 1 — Schema Check:** Compare schemas, flag mismatches and nullability. **Step 2 — Quality Checks:** Generate validation queries for integrity. **Step 3 — Monitoring:** Create alerts for freshness and schema drift. **Output:** Validation framework with checks, scripts, and alert configs.
Free to copy and use. Compatible with Claude 4 Opus, GPT-5, Gemini 2.5 Pro.
Describe your pipeline stages with source and target schemas. Include sample data and business rules for quality checks.
Initial release
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