I'm building market-risk reporting features for a large retail and commercial bank at EPAM Systems. I refactored a legacy monolith into modular Spring Boot REST APIs, improving readiness for downstream reporting and analytics.
Previously at Bharti Airtel, I developed a reusable parameter-driven Spark job for real-time, large-scale processing across analytics pipelines. I also optimized Sqoop jobs for centralized Hadoop data-lake ingestion and automated reporting work, reducing manual effort by approximately 90%.
At Real Time Data Services, I migrated complex MySQL queries to MongoDB for higher-traffic modules and improved performance and scalability. I also maintained a cloud telephony web application, refactored legacy code, and mentored new engineers.
Across backend and data engineering work, I build REST APIs, ETL pipelines, and reporting solutions using Java, Spring Boot, Spark, Kafka, Hadoop, and databases including MySQL, MongoDB, Oracle, and Cassandra.
