In July 2025, Geo developed a serverless data processing pipeline for the CDCgov/dibbs-ecr-refiner repository, focusing on automating EICR and RR data refinement. Leveraging AWS Lambda, Python, and Docker, Geo designed a system that responds to S3 events by ingesting and decoding base64-encoded payloads, then generating and storing refined XML documents back in S3. The work included updating deployment artifacts, such as the Dockerfile and a Lambda-specific requirements file, to streamline cloud deployment. This feature established a scalable, event-driven workflow that reduces manual intervention in data processing, demonstrating depth in cloud-native architecture and XML data handling.