Worked on the databricks-sql-python repository to enhance dependency management by removing upper version bounds on numpy and pyarrow, thereby improving compatibility with newer library releases. This update involved modifying the pyproject.toml configuration and regenerating the poetry.lock file to ensure reproducible Python packaging and installations. The approach reduced lockfile constraints, making downstream upgrades and continuous integration processes more resilient. Focused on Python and dependency management, the work addressed long-term maintainability and simplified future upgrades for the project. All changes were documented with a traceable commit, supporting auditability and transparency in the repository’s ongoing development and ecosystem compatibility efforts.