•With 10 years of IT experience, I specialize in Object-Oriented Programming, Analysis, Design, Development, Documentation, Integration, Testing, and Deployment, with a focus on JAVA and J2EE technologies.•Proficient across various industries such as Banking, Financial Services, Insurance, Healthcare, and E-commerce.•Demonstrated adaptability in applying technology solutions to unique business challenges.•Developed Microservices-based applications using Spring Boot and Spring Cloud for scalable solutions.•Expert in Core Java with a strong grasp of Garbage Collection, Collections Framework, Exception Handling, Multithreading, Event Handling, JDBC, JMS, and Generics.•Utilized ReactJS for developing web applications, effectively binding data/models retrieved from databases to the view using scope.•Built responsive web interfaces with React, employing functional components, routing, hooks, and Redux.•Developed internal applications using Angular and Node.js, with backend connectivity to Oracle databases.•Hands-on experience with Angular directives, components, pipes, and injectables.•Developed web, batch, and business intelligence solutions using SharePoint and MS SQL.•Proficient in requirements analysis, design, development, testing, maintenance, enhancement, and production support of business applications.•Extensive experience in setting up CI/CD pipelines using tools such as Jenkins, Bitbucket, GitHub, Maven, and Nexus.•Created custom reusable ReactJS components.•Deployed ReactJS applications to cloud environments using AWS EC2.•Hands-on experience with message brokers like ActiveMQ, RabbitMQ, and Apache Kafka.•Extensive experience with databases such as Oracle, MySQL, MS SQL Server, and IBM DB2.•Solid understanding of Database Management Systems and proficiency in modern NoSQL platforms, including MongoDB, Cassandra, and DynamoDB.•Skilled in HTML, CSS, JavaScript, jQuery, JSON, AJAX, Node.js, Angular, React.js, BackboneJS, Tag Libraries, and JSTL for dynamic and responsive Front-End UI experiences.•Strong experience in real-time data analytics using Spark Streaming, Kafka, and Flume.•Good experience with AWS services including S3, IAM, EC2, EMR, Kinesis, VPC, DynamoDB, Redshift, Amazon RDS, Lambda, Athena, Glue, DMS, QuickSight, Auto Scaling, CloudWatch, SNS, and SQS.