Worked on the dagster-io/dagster repository to enhance the reliability of data engineering pipelines by addressing a critical edge case in Sling materialization. Focused on Python development and ETL processes, the work involved debugging and patching the configuration handling logic to ensure that object_key values are correctly retrieved even when stream configurations are empty or missing. This fix prevented runtime errors and improved the stability of end-to-end materialization workflows. By collaborating with cross-functional teams and delivering a targeted patch, the developer reduced downstream error surfaces and strengthened the robustness of stream configuration handling within the broader data engineering ecosystem.