• Integrated a resilient and scalable data pipeline in AWS MSK Kafka for a microservice.• Integrated a Log4J configuration for a microservice to upload files to AWS S3 for better application maintainability.• Reshaped a Java-based Jira Automator that creates, updates, and closes Jira tickets during the product’s release. • Created health monitoring Datadog monitors using Terraform to notify if applications fail during startup.• Incorporated Kotlin for integration testing of ad-tech applications ensuring the seamless interoperability of various components, guaranteeing reliable performance in dynamic advertising environments.

• Developed a Java-based microservice that consumes streaming data of quotes of trade market items through Websocket APIs and displays candlesticks accordingly for the item request by the customer.• Built and guided a team of 2 developers to develop REST APIs in Kotlin and Jenkins scripts to automate the entire release process by establishing a CI/CD pipeline, saving over 3+ Man days of effort per month.• Implemented a Pipe and Filter architecture for a Scala-based app that processes a stream of packages from a central registry with a request limiter and Buffering system, reducing the loss of streaming data by 15%• Held tech talks for distributed systems and system design concepts across the development unit of the organization.

• Integrated circuit breaker pattern in a Java-based microservice, making it fail-proof with a 15% reduction in failure rate.• Implemented a new Java-based microservice for single sign-on (SSO) and role-based access using JSON Web Token (JWT) authentication, reducing activities by unauthorized roles to 0.• Refactored a Java-based Microservice using Spring Boot to include a cache system, reducing database calls by 15%.• Automated the product’s release pipeline in Jenkins, along with integrating stress testing and deploying into production, saving almost 2+ Man days of effort per month.• Migrated a monolithic Java application into Spring-based microservice architecture with Eureka server Cloud discovery along with Spring-based Transaction Management for maintaining consistency in database queries.