Manish Chandra

About Manish Chandra

Senior Full Stack Java Developer with around 9 years of experience across the Software Development Life Cycle (SDLC), including designing, implementing, testing, and maintaining complex client-server applications. I have a strong expertise in Java/J2EE technologies, with hands-on experience in modern frameworks such as Spring Boot, Spring Security, and for building scalable and secure applications. My experience spans across diverse domains including microservices architecture, cloud computing (AWS, GCP, Azure), and event-driven solutions using tools like Kafka and RabbitMQ. I am passionate about leveraging technologies to create high-performance, responsive applications, with a focus on maintaining robust backend systems and seamless user experiences. I am well-versed in working with relational and NoSQL databases, as well as continuous integration and deployment (CI/CD) using tools like Jenkins, Docker, Kubernetes, and Terraform. With a solid foundation in security protocols, I ensure that the applications I develop are secure, scalable, and adaptable to evolving business needs. I thrive in collaborative, fast-paced environments and am driven by a desire to build solutions that solve real-world challenges, optimize processes, and improve performance. My passion for software development is coupled with a commitment to producing high-quality code and continuous learning.

Experience

1. Full Stack Java Developer

   State of Colorado

   Aug 2022 — Present · Denver, CO, US

   Worked on the implementation of Java 11 and Java 17 features, including modules, var keyword, sealed classes, pattern matching, and enhanced switch expressions to enhance code clarity, performance, and maintainability across large-scale applications.• Built and maintained responsive front-end applications with Angular 12/14, optimizing the user experience across different platforms and devices.• Designed and developed Java 17 microservices integrated with Hadoop HDFS for large-scale data storage and retrieval.• Implemented batch processing systems with Hibernate and Spring Boot, significantly improving data processing efficiency and reducing system overhead.• Optimized GraphQL queries and implemented data aggregation strategies, reducing database load and improving performance for high-volume applications.• Integrated Kafka to implement high-throughput, fault-tolerant messaging systems for communication between microservices.• · Developed Spring Boot microservices integrating with Snowflake Data Warehouse for analytics and reporting pipelines• Developed APIs in JSON and XML formats to facilitate communication between systems, ensuring easy integration with third-party services.• Utilized SQL for developing data migration scripts between legacy and modern database systems, ensuring data consistency.• Set up and managed Kubernetes clusters in AWS EKS, optimizing resource usage, pod scaling, and ensuring system health with tools like kubectl, Helm, and AWS CloudWatch.• Implemented CI/CD pipelines with Jenkins and Circle CI, automating the build, test, and deployment workflows to ensure continuous integration and faster delivery.• Wrote unit tests using JUnit and Mockito, and integrated Selenium WebDriver for automated UI testing, ensuring quality and reliability of both back-end and front-end code.