data-engineering

Features and purpose

Automatically reviews data pipelines, optimizes SQL queries, and ensures data quality. Activates when you mention: data pipeline, ETL, SQL optimization, query performance, data quality, schema design, Airflow DAG, database index, slow query. Provides: Pipeline design patterns, SQL query optimization, index recommendations, data validation strategies, schema improvements. Supports: PostgreSQL, MySQL, SQLAlchemy, Prisma, Spring Data JPA

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.