During January 2026, Th worked on the dbt-labs/dbt-adapters repository to deliver Spark 4.x compatibility. They upgraded the PySpark dependency to version 4.x, updated the Dockerfile and configuration files to ensure seamless integration with Spark 4.x, and implemented unit tests to validate the changes. This work focused on enabling Spark 4.x deployments while minimizing upgrade risks and aligning with modernization goals. Th utilized Python, Docker, and YAML to manage dependencies and automate testing within the CI pipeline. The scope was focused but thorough, addressing compatibility challenges and ensuring the repository could support Spark 4.x in production environments.