Data quality issues often arise when developers change ETL pipelines or modify ML models. Great Expectations is an OSS Python framework from Superconductive for testing, profiling, and documenting data pipelines. Most recently, Great Expectations released a GitHub Action that enables users to include data validation in their continuous integration workflows. This Action, which is run from a user’s GitHub repository whenever a PR is created or updated, can help prevent data pipeline bugs from impacting production.