Developed enhanced error messaging for database API connections in the pandas-dev/pandas repository, focusing on cases involving non-string data types. The work centered on improving user experience by providing clearer, more actionable error details when DB-API connections encounter data-type mismatches, thereby streamlining debugging and reducing support overhead. Leveraging Python and pandas core API, the implementation standardized error handling patterns and clarified failure contexts for users interacting with various database drivers. This targeted feature improved the reliability of data pipelines and demonstrated skills in data manipulation, error handling, and unit testing, contributing to more robust and maintainable database integration workflows.