Developed employing frameworks like Spring Boot for server-side logic and RESTful API integration. On the frontend, they proficiently utilize Angular 14 and React, crafting custom components and ensuring efficient data access. Security is paramount, with implementations ranging from Spring Security for authentication to securely storing JWT tokens. Their expertise extends to database optimization, including relational databases like Oracle SQL and NoSQL solutions such as MongoDB and Azure Cosmos DB. Moreover modern DevOps practices, leveraging tools like Docker, Kubernetes, and Azure DevOps for CI/CD pipelines and containerization. Additionally, they prioritize testing, employing frameworks like JUnit, Jest, and Mocha to ensure code reliability across both frontend and backend components.

Assembled skill set spanning JavaScript frameworks like Angular, React, and Node.js. Moreover in frontend development, crafting efficient user interaction screens using HTML, CSS3, and Bootstrap. Backend-wise, they leverage technologies such as Spring Boot and Hibernate for database connectivity and transaction management. Their proficiency extends to microservices architecture, where they deploy, scale, and configure services in platforms like AWS ECS and PCF. They prioritize performance optimization, employing techniques such as JVM analysis and microservice rewriting. Additionally, actively participated in Agile/SCRUM processes, contributing to daily stand-ups, sprint planning, and code review meetings while coordinating QA testing.

Project involved in migrating dependencies to Java 11+ and developing responsive UI screens using SASS, JavaScript, jQuery, and Bootstrap. REST APIs were built with Spring Boot, hosted on PCF, and secured with Spring Security. Angular 11 was integrated for frontend development, utilizing Angular CLI and TypeScript for efficient code management. Testing was automated with JUnit, TestNG, and Jenkins, while AWS services were utilized for enhanced authentication and data management. Additionally, Docker containers were employed for streamlined application lifecycle management.

Senior Java developer with expertise in implementing RESTful web services using Node JS and Spring Boot, building reusable React JS components, and developing web pages with SASS, Redux, and TypeScript. Proficient in MongoDB, AWS cloud services, and tools like Gradle, SOAP UI, App Dynamics, and JMeter for testing and deployment.

Exhibited a comprehensive mastery of Java 8, Node.js, AWS, Jenkins, Git, Docker, Log4j, Swagger, Agile Scrum, and Oracle technologies:Java 8 Proficiency: Utilized Java 8 for backend development, implementing RESTful web services with Spring Boot and Microservices architecture, supported by Spring REST and Swagger.Node.js Expertise: Leveraged Node.js for server-side applications, interacting with MongoDB for database persistence, and providing logic via Express.js.AWS Integration: Deployed applications on AWS infrastructure, using services like AWS CloudWatch and EC2 instances. Transitioned to Docker with Kubernetes for container management.CI/CD with Jenkins and Git: Implemented continuous integration and delivery pipelines with Jenkins, managing source code using Git.Containerization with Docker: Utilized Docker for streamlined deployment and consistent runtime environments.Logging with Log4j: Implemented Log4j for monitoring application health.API Documentation with Swagger: Utilized Swagger for documenting APIs.Agile Scrum Methodology: Adopted Agile Scrum for iterative development.Database Management with Oracle: Leveraged Oracle for data storage, implementing various database concepts.Overall, the project demonstrated adeptness in multiple technologies, ensuring efficient development and deployment within a collaborative Agile environment.

Accomplished expertise in JavaScript, jQuery, TypeScript, AWS EC2, AWS Lambda, and API technologies. Employing a robust MVC architecture, RESTful APIs were meticulously developed using Node.js and Spring Boot, meticulously documented with Swagger. To manage API traffic effectively, sophisticated solutions such as Apigee were integrated, ensuring optimal performance. Continuous Integration/Continuous Deployment (CI/CD) pipelines orchestrated with Jenkins and Docker facilitated streamlined deployment processes. Asynchronous communication between microservices was seamlessly managed through message queue systems like RabbitMQ or Kafka. The integration of MongoDB for data storage offered a flexible and efficient solution. Overall, the project demonstrated a holistic understanding and application of modern web development and cloud technologies within a scalable and reliable architecture.