Worked on the DataDog/dd-trace-py repository to enhance the robustness of the telemetry dependency tracker by addressing error handling for malformed distribution metadata. Introduced per-distribution try/except logic in Python to ensure that a single bad dist-info entry would not cause cascading tracebacks or disrupt the overall tracking process. This backend development effort focused on isolating errors to individual distributions, reducing log noise, and maintaining clean CI runs. The solution included deduplicated warnings and was verified through end-to-end testing, showing no chained tracebacks after encountering a bad distribution. The change was low-overhead and evaluated across multiple Python versions.