In February 2026, Pol Smets expanded the Dagster-Dataform integration within the dagster-io/community-integrations repository by implementing selective model and tag execution. Using Python and data engineering skills, Pol enabled targeted execution of specific models and their dependencies during Dataform orchestration, allowing users to run only the necessary parts of a data pipeline. This approach reduced unnecessary resource consumption and improved workflow efficiency by providing more granular control over pipeline runs. The work demonstrated end-to-end readiness for selective execution, with a focus on robust testing and workflow orchestration, reflecting a thoughtful and technically sound solution to pipeline management challenges.