Jiya Uppal is a Software Engineer at Autodesk, where she plays a key role in building scalable data platforms that power analytics and decision-making across the organization. Her work focuses on designing robust batch processing frameworks, enabling seamless data replication, ingestion, and quality assurance using technologies like PySpark, Hive, Snowflake, and Airflow. Jiya has led initiatives to simplify data operations through self service tooling and platform-driven architecture. Her contributions have significantly enhanced reliability, observability, and developer experience within Autodesk’s data ecosystem.