Developed cross-repository enhancements to support UUID data types in Cloud Spanner import and export workflows, focusing on the ollionorg/DataflowTemplates-fork and anthropics/beam repositories. Leveraged Java, Apache Beam, and Avro to implement and test UUID mapping across Avro, CSV, and Spanner data paths, updating core components such as AvroRecordConverter and SpannerSchema. This work improved data fidelity and reliability for UUID-based records, reducing the need for manual data cleansing and enabling more accurate end-to-end data transformations. Comprehensive schema management and testing ensured compatibility across Spanner dialects, laying the foundation for scalable UUID usage in future data engineering pipelines.