Sandeep Kumar Patel

Project Title: Financial Reporting System Developed microservices for the Daily Close Revenue system, integrating data from over 30 different feeds, leading to enhanced efficiency and ensuring 97% accuracy in reporting. Implemented caching mechanism to store and retrieve pre-computed data, resulting in a 40% reduction in processing time. Refactored the codebase with reactive programming using WebFlux, enhancing system throughput by 60%.

Project Title: Claim Management Application Migration to Microservices Architecture: Led the migration from a monolithic application to a microservices architecture, significantly increasing system scalability and improving overall performance, resilience, and maintainability. Integration with Legacy Systems: Integrated microservices with legacy systems and collaborated with cross-functional teams to ensure seamless and reliable system operation.

Project Title: Financial Forecasting & Risk Assessment Added new services to the system, resulting in enhanced functionality and an overall increase in system efficiency and maintainability. Improved code coverage from 35% to 80%, significantly improving the robustness of the application. Converted database procedures into Java methods, optimizing queries to enhance efficiency and gained control over query modifications

Project Title: Vendor Management System Played a key role in designing and defining service boundaries, enabling the effective decomposition of the monolithic application into smaller, manageable service. Implemented new RESTful endpoints to expose functionalities which was previously encapsulated within the monolith. Integrated a new module as an extension of the application. Participated in unit testing as well end-to-end testing of the application.

Project Title: Database and Application Migration Developed new code as well as modified existing code to align with database migration from Sybase to Oracle, ensuring continued functionality. Developed rigorous test cases to validate the transformation and data mappings