Alvaro Arredondo Parra enhanced dependency management for the databricks-sql-python repository by removing upper version bounds on numpy and pyarrow, focusing on improving compatibility with newer library releases. Using Python and leveraging skills in Python packaging, Alvaro updated the pyproject.toml and synchronized poetry.lock to reflect these changes, ensuring reproducible installations while reducing constraints in the lockfile. This adjustment simplified downstream upgrade paths and improved the maintainability of the codebase within the broader Python ecosystem. The work, completed over one month, demonstrated a targeted approach to dependency flexibility, addressing long-term ecosystem compatibility without introducing new bugs or regressions.