Worked on the airbnb/chronon repository to deliver a Schema Traversal Optimization for Avro Schemas, focusing on improving data processing performance and reliability. Introduced a SchemaTraverser trait in Scala, enabling a single traversal of Avro schemas per task and updating conversion functions to leverage this logic. This approach reduced per-task schema creation overhead, resulting in higher throughput for large-scale Spark data pipelines while maintaining schema integrity. The work was consolidated into a single commit and associated pull requests, demonstrating proficiency in Avro, Scala, and data processing, and providing measurable business value through enhanced efficiency and more robust schema handling.