Nov 2022 – Nov 2024 · 2 yrs · San Francisco Bay Area · Remote

• Developed a modular insurance application using Java and Spring Boot, ensuring scalability and performance while managing complex insurance policies and claims processing.
• Built Kafka consumers in Java to handle real-time insurance data streams, ensuring efficient ingestion and processing of high-volume transactions with minimal latency.
• Integrated RabbitMQ to manage asynchronous messaging between insurance microservices, optimizing system reliability and fault tolerance during peak policy processing periods.
• Utilized Apache Spark for real-time data analytics and processing, enabling efficient ETL operations to extract, transform, and load large volumes of insurance policy data.
• Implemented Cassandra as a scalable, distributed database for customer policy data, ensuring high availability and resilience in large-scale insurance applications.
• Integrated MongoDB to store unstructured policy data, supporting flexible data schemas and enabling efficient access for analytical and reporting needs.
• Optimized Oracle database interactions using Spring Data JPA, ensuring fast, efficient queries for policy data retrieval and improving overall system performance.
• Designed and deployed RESTful APIs in Java using Spring Boot, facilitating seamless communication between insurance microservices and third-party applications.
• Developed Kafka producers to publish insurance policy updates in real time, allowing other microservices to consume and process the data for downstream operations.
• Collaborated with cross-functional teams, ensuring smooth communication and effective problem-solving during Agile sprints, enhancing feature delivery speed and quality.
• Utilized Docker for containerization of the Spring Boot application, ensuring consistency across development, testing, and production environments.
• Orchestrated microservices using Kubernetes, ensuring high availability and horizontal scalability to meet demand spikes during peak insurance transactions.

Jan 2022 – Oct 2022 · 9 mos · Pittsburgh, Pennsylvania, United States · Remote

• Developed a scalable Spring Boot application in Java for managing key functionalities of an automobile shopping website, with a modular, high-performance microservices architecture.
• Integrated MongoDB to store dynamic vehicle data, including customer reviews, vehicle history, and dealer-specific information, allowing flexible data models that adapt to different requirements.
• Implemented Spring Kafka consumers in Java for processing real-time automotive data streams, ensuring seamless synchronization between vehicle listings and MongoDB for improved data consistency.
• Designed an ETL process using Java to extract, transform, and load vehicle data into Cassandra and MongoDB, optimizing storage and retrieval for enhanced user search functionality.
• Established efficient search capabilities by using an open-source Solr search engine alongside MongoDB, enabling fast access to vehicle listings, including aggregated customer ratings and metadata.
• Used MongoDB’s flexible schema design to enable efficient data storage of user activity logs, vehicle browsing history, and personalized recommendations, improving user engagement and retention.
• Collaborated with DevOps teams using Jenkins and Rally to automate CI/CD pipelines, enhancing deployment efficiency and maintaining high product quality.
• Utilized RabbitMQ for asynchronous messaging between microservices, supporting smooth communication and consistency during high-volume vehicle transactions.
• Orchestrated containerized microservices with Kubernetes, enabling automated scaling and load balancing to handle traffic spikes, especially during promotional periods on the automobile platform.

Feb 2020 – Apr 2021 · 1 yr 2 mos · New Britain, Connecticut, United States · Remote

• Developed a scalable banking application using Java and Spring Boot, managing core functionalities such as customer account management, loan processing, and transaction handling within a microservices architecture.
• Implemented Spring Kafka consumers in Java to process banking transaction data in real-time, ensuring secure updates to persistent storage and facilitating accurate customer account updates.
• Established an ETL process using Java to extract, transform, and load financial data into Cassandra, enhancing search functionality and improving query performance for financial record retrieval.
• Integrated an open-source Solr search engine to optimize data retrieval processes, enabling fast and efficient searches for financial records and transaction histories.
• Collaborated with the DevOps team, utilizing Fusion Tools like Jenkins and Rally to automate the CI/CD pipeline, ensuring timely and efficient delivery of high-quality banking software.
• Utilized Kubernetes for orchestrating containerized microservices, ensuring high availability, fault tolerance, and the ability to scale banking services to handle peak transaction loads.
• Developed RESTful APIs using Spring Boot, facilitating seamless communication between front-end banking portals and back-end services, with thorough testing using Postman and Insomnia.
• Monitored application performance using Prometheus and Grafana, providing real-time tracking of key banking service metrics and enabling proactive resource management during high transaction volumes.
• Conducted unit and integration testing using JUnit and Mockito, ensuring reliability and security of banking services, and created Gherkin Syntax-based acceptance tests for comprehensive validation.
• Enhanced application security by adhering to OWASP guidelines and implementing secure coding practices with Fortify, safeguarding sensitive financial data in compliance with banking regulations.

Sep 2017 – Jan 2020 · 2 yrs 4 mos · Rochester, NY · Remote

• Designed and implemented a scalable RESTful backend for an online food market website using Java and Spring Boot, ensuring seamless handling of high traffic during peak shopping periods through microservices architecture.
• Developed microservices for managing product listings, customer orders, and payment processing, utilizing the Spring framework to ensure smooth data flow and integration across the food market application.
• Integrated Spring Kafka consumers to process real-time messages related to order management and inventory updates, efficiently synchronizing these processes with persistent storage across services.
• Established an ETL process in Java to extract, transform, and load food product and order data into Cassandra, optimizing product retrieval and enhancing user search experiences.
• Collaborated with a DevOps team, leveraging tools like Jenkins and Rally to manage the CI/CD pipeline, automating deployment processes and maintaining high product quality throughout the development lifecycle.
• Utilized Kubernetes for orchestrating microservices, ensuring scalability and load balancing during peak order times, providing high availability for the food market platform.
• Developed RESTful APIs using Spring Boot, implementing secure authentication and authorization mechanisms, and utilized Swagger for comprehensive API documentation and testing.
• Applied Spring Core Annotations for dependency injection, enhancing the modularity and maintainability of backend services in the food market website.
• Improved system reliability and fault tolerance by implementing robust exception handling and optimizing Java Collections API for efficient handling of large sets of product and order data.

Jun 2012 – Aug 2017 · 5 yrs 2 mos · Chennai, Tamil Nadu, India · Remote

• Maintained interface compatibility and concurrency in the project using Java 8 features, such as default and static methods, alongside the Concurrency API for enhanced performance.
• Designed and developed interactive front-end pages using React, HTML5, CSS3, JavaScript, Bootstrap, and React Query, ensuring cross-browser functionality and responsive user interfaces.
• Created single-page applications (SPAs) with multiple views using React Router, enabling dynamic routing and seamless navigation for an enhanced user experience.
• Developed a Spring Boot application employing a microservices architecture, ensuring small, lightweight services that communicate efficiently using Kafka for real-time data processing.
• Designed and implemented asynchronous RESTful microservices with Spring Boot, enabling seamless communication between services and facilitating high throughput in the food market application.
• Utilized annotation-based configuration in Spring Boot for developing the application, while also setting up Spring bean profiling for improved application performance.
• Integrated Spring Cloud with RabbitMQ for reliable message sending and receiving between microservices, ensuring efficient data flow across the food market platform.
• Implemented synchronous and asynchronous messaging functionalities on RabbitMQ, alongside sending JMS messages to Apache ActiveMQ, improving overall message processing capabilities.
• Performed unit testing using JUnit, Mockito, and PowerMock, collaborating closely with QA teams to ensure comprehensive testing and validation of features.