In March 2026, Lara Kulkarni contributed to the DataDog/dd-trace-java repository by addressing a bug that affected Spark job observability on Databricks clusters. She implemented a targeted fix in Java to prevent the emission of application spans for inactive clusters, thereby reducing trace noise and ensuring that monitoring dashboards reflect only active Spark jobs. Lara also improved backend code quality by updating logging practices and maintaining spotless formatting, which supports reliable builds and clean logs. Her work focused on backend development and logging, resulting in more accurate performance monitoring and streamlined debugging for Spark jobs in enterprise environments.