Worked on the aws/aws-sdk-pandas repository to address a critical bug affecting schema evolution during Athena-to-Iceberg conversions. Using Python and leveraging AWS services alongside Pandas for data processing, implemented a fix that preserves newly added columns when schemas change, preventing data loss and ensuring downstream analytics remain accurate. The solution improved the reliability of automated data pipelines and enhanced compatibility between Athena and Iceberg, reducing maintenance for users. Emphasized robust unit testing and clear documentation, ensuring the change was traceable and maintainable. This focused contribution demonstrated careful debugging and a methodical approach to maintaining data integrity in evolving cloud environments.