Srirish Indra contributed to the xupefei/spark and apache/spark repositories by enhancing data auditing and improving test reliability in Spark environments. He implemented caller context population for HDFS audit logs in Scala, enabling more effective traceability and forensic analysis of Spark driver file access, which addressed governance and compliance needs. In a separate effort, he stabilized PySpark streaming listener tests by introducing a wait mechanism in Python, reducing test flakiness and accelerating CI feedback for streaming workloads. His work demonstrated depth in Big Data, Spark, and streaming data, focusing on robust instrumentation and reliable automated testing within complex distributed systems.