Data Engineering

Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

Complete methodology for designing, building, operating, and scaling data pipelines and infrastructure. Zero dependencies — pure agent skill.