Data Pipeline Code Review Checker

Reviews SQL, dbt models, or Python pipeline code across 9 dimensions — correctness, idempotency, testability, performance, data quality, error handling, naming/structure, dependency safety, and documentation — and returns line-level findings ranked by severity plus a prioritized fix list. Use when reviewing a pull request for a data pipeline, checking a dbt model or SQL transformation before merge, or auditing Python ETL/ELT code for reliability and best practices.