Developed a targeted feature for the acryladata/datahub repository to enhance the precision and scalability of lineage searches. Focused on backend development using Python and GraphQL, the work introduced degree-based filtering and optional cache control to the search_across_lineage API. This approach allowed data engineers and stewards to conduct more accurate lineage investigations while managing cache performance as the data graph expanded. The implementation emphasized API parameterization and performance-aware design, with smoke-test driven validation ensuring reliability and preventing regressions. The feature reduced time-to-insight for users and improved cache management, reflecting a thoughtful balance between precision, scalability, and maintainability.