Developed a core feature for the Ballerina-Org/ballerina repository to enhance data processing scalability and reliability. Focused on backend development using Go, the work introduced Multi-Reader and Multi-Updater Support, expanding existing APIs to handle multiple concurrent readers and updaters. This approach improved error handling and increased data processing flexibility, directly addressing bottlenecks in large-scale data pipelines. The implementation laid the foundation for future concurrency enhancements, aligning with product goals for robust, data-centric workloads. Emphasis was placed on thorough testing to ensure reliability and maintainability, resulting in a scalable solution that supports more flexible and efficient data processing workflows.