About
This skill provides production-ready patterns for ensuring data reliability throughout the engineering lifecycle. It facilitates the implementation of the data testing pyramid—from schema validation to complex business logic checks—using industry-standard tools like Great Expectations and dbt. By integrating these frameworks, users can automate data quality monitoring, establish clear data contracts between producers and consumers, and prevent downstream pipeline failures through proactive validation in CI/CD workflows.