Worked on enhancing metadata quality in the dbt-labs/dbt-adapters repository by addressing description truncation issues within AWS Glue catalogs. Focused on backend development using Python and data modeling skills, the solution introduced an ellipsis-based truncation helper to manage table and column description lengths, ensuring metadata clarity and preventing loss of critical information. Adjusted the maximum allowable description length to align with Glue catalog constraints, thereby improving metadata reliability and supporting better data governance and discovery. Collaborated with other contributors to deliver this targeted bug fix, which streamlines catalog usability and helps maintain comprehensive, accessible metadata for downstream users.