Developed and delivered notebook-scoped Python package installation for the databricks/dbt-databricks repository, enabling per-notebook environment management for command submissions and notebook job runs. This feature addressed dependency and environment drift challenges in DBT workflows by allowing users to install Python packages in isolated notebook contexts. The implementation involved extending PythonCommandSubmitt and PythonNotebookUploader classes using Python and Pydantic, with thorough validation across All-Purpose, Serverless, and Job clusters. Tests were created or updated to ensure reliability, and documentation was maintained through changelog and release notes updates. Collaboration and adherence to review processes were demonstrated throughout the development cycle.