Worked on developing and deploying scalable microservices using Java and Spring Boot, focusing on creating efficient backend services. I implemented RESTful APIs and GraphQL to make data retrieval faster and more flexible. I also played a key role in upgrading systems to use the latest Java and Spring Boot versions.I deployed microservices using cloud platforms like Azure and AWS, making use of Docker and Kubernetes for container management. Additionally, I built serverless solutions with AWS Lambda and other cloud services, ensuring the applications were both scalable and high-performing.To enable smooth communication between microservices, I used Azure Service Bus and AWS SNS, implementing reliable message handling processes. I managed databases with PostgreSQL, ensuring they were well-optimized for performance.I ensured that our code was always high-quality by using JUnit and Mockito for testing, maintaining a strong focus on continuous integration and delivery through tools like GitHub Actions and Jenkins. I also documented our APIs with Swagger to help other developers easily understand and work with them.I actively participated in Agile methodologies, contributing to daily meetings, sprints, and reviews to keep the project on track. I also provided support for production issues, helping to resolve incidents quickly and address security vulnerabilities.

In this project, I played a key role in designing and developing a highly responsive and user-friendly front-end using Angular, JavaScript, and TypeScript. I leveraged Angular's reactive forms for robust form validation, ensuring accurate user input and enhancing the overall user experience. My work also involved integrating RESTful APIs with Angular services to streamline data fetching and manipulation, and I managed state transitions in Angular applications using NgRx, implementing techniques like lazy loading, AOT compilation, and two-way data binding for optimized performance.On the back-end, I implemented and maintained RESTful APIs to facilitate seamless communication between front-end and back-end systems. I utilized advanced features of Java 11 and Java 8, including local-variable syntax for lambda parameters, the HTTP Client API, lambda expressions, and the Streams API, which enhanced code efficiency, readability, and performance. I utilized key Spring Boot features such as Spring Data JPA, Spring Security, and Spring Cloud to enhance application performance. My responsibilities also included managing API versioning and documentation with Swagger for clear communication of API capabilities.To ensure smooth inter-service communication, I configured Kafka topics, producers, and consumers, implemented message partitioning and replication strategies, and optimized application performance through code refactoring and caching strategies. I monitored application performance using AWS CloudWatch, ensured security with AWS IAM.Following Agile methodologies, I participated in daily stand-ups, sprint planning, and retrospectives to ensure the timely delivery of project milestones. I also contributed to CI/CD pipelines using Jenkins, Docker, and Kubernetes, automating testing and deployment processes. Additionally, I implemented unit and integration tests with JUnit and Mockito.

In this project, I utilized Agile methodology to design and develop key modules efficiently. I applied Java OOP concepts to design and code core components, ensuring scalable and maintainable solutions. On the front-end, I developed responsive components using HTML, CSS, and JavaScript, implementing screen validations and data attribute management between screens.I leveraged Java 1.8 features such as lambda expressions, functional interfaces, collections, streams, and date/time enhancements to improve code efficiency. My work involved applying core Java principles including classes, objects, inheritance, and polymorphism, and adhering to object-oriented design principles for robust code architecture.For data management, I wrote and executed SQL queries to manipulate and analyze data in relational databases and constructed NoSQL queries for document and key-value stores. I implemented RESTful APIs using Swagger, utilizing its rich UI for effective API testing.I employed Kubernetes for deploying, scaling, and managing Docker containers across multiple namespaces, ensuring efficient load balancing. I created Docker images and containers, configuring Docker files and using Docker Compose for image management.Version control was managed with GIT, defect tracking with Jira, and development was conducted using IntelliJ IDEA. I also managed application configuration using YAML, ensuring a clean and structured representation of settings and parameters.