data-engineering
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
Installation and usage
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
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skills use data-engineering