• Engineered Java modules to enable rapid data exchange between RDBMS and file systems, achieving sub-2 second response times, and optimizing overall system performance.

• Developed and deployed a Python-based raw data validation tool, boosting data quality and reducing inconsistencies by 82%, leading to smoother downstream processing.

• Created and optimized Python APIs that streamlined data transmission between the frontend and backend services, enhancing communication efficiency by 35%.

• Integrated and refined API calls within the UI, and incorporated an AI chat agent module using React.js, improving user interaction speed by 20%.

• Spearheaded 10+ change requests to enhance MDM-related REST APIs, resulting in a 15% increase in data processing efficiency and system stability using Java/J2EE and Spring/Spring Boot technologies.

• Deployed robust RESTful APIs using Django REST Framework, facilitating seamless communication between front-end and back-end systems, leading to a 40% reduction in API response time.

• Ensured high availability of applications by setting up Kubernetes pods with auto-scaling, resulting in a 25% improvement in system responsiveness during peak traffic.

• Automated the process of re-driving stuck regulatory reports from the SQS-DLQ saving 500+ hours of the on-call engineers.

• Utilized AWS Lambda for orchestrating the calls between API Gateway and other AWS services.

• Designed a full-CD pipeline for operational tools via CDK to provide the boilerplate for upcoming operational tools.

• Developed REST API using AWS API Gateway to trigger the resuming of regulatory reports.

• Designed a frontend UI in React utilizing the Redux pattern to trigger the resuming workflow and display the resumed reports on the dashboard.

• Utilized dependency injection via Guice and Dagger to enhance extensibility and maintainability of the code.

• Improvised the original design by adapting an asynchronous invocation pattern which increased the throughput by 81%.

• Formulated API testing suites in Postman ChaiBDD to maintain data hygiene in the database.

• Ensured data integrity by meticulously querying MDM SQL tables, resulting in accurate test results.

• Automated API testing suite using shell scripts and Postman, saving approximately 20 hours per week.