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Full-Stack Developer Java

Location:
Fort Wayne, IN
Posted:
September 10, 2025

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Resume:

Pagadala Meena +1-346-***-**** *****.**********@*****.*** USA

Java Full-Stack Developer

Professional Summary

Around 7+ years of hands-on experience in designing, developing, and deploying web-based and client-server business applications, utilizing Object-Oriented Programming principles and Java/J2EE technologies. Skilled in building scalable backend systems with Core Java, J2EE, JSP, Servlets, JDBC, and frameworks such as Spring Boot, Spring MVC, Spring AOP, Spring Data, Hibernate, and Maven, while designing and consuming RESTful and SOAP web services for seamless integration. Proficient in developing dynamic, responsive UI applications using Angular (4/6/7/8), React.js, AngularJS, Node.js, HTML5, CSS3, JavaScript, jQuery, AJAX, JSON, and Bootstrap. Experienced in migrating monolithic systems to microservice architectures using Spring Cloud and AWS cloud-native services, leading to enhanced scalability and performance. Managed cloud infrastructure on AWS, including services such as EC2, S3, Lambda, CloudFormation, RDS, Auto Scaling, and VPC, while maintaining secure and efficient deployment environments. Expertise in SQL/PLSQL development on Oracle and MySQL, as well as handling NoSQL databases like MongoDB and Cassandra for distributed data management. Integrated messaging systems using ActiveMQ and RabbitMQ to enable asynchronous communication in microservices environments. Built and automated CI/CD pipelines using Jenkins, Docker, Cloud Foundry, SonarQube, and administered version control with Git, Bitbucket, GitLab, and SVN. Implemented XML technologies (XSL, XSLT, XPath, XForms) and used parsers like SAX and DOM for efficient data transformation. Integrated third-party APIs, including payment gateways, geolocation services, and social logins to extend system functionality.

Practiced Agile methodologies (Scrum, TDD), actively participating throughout the Software Development Life Cycle (SDLC), and promoting collaboration through code reviews, mentorship, and technical knowledge-sharing sessions. Designed and implemented a scalable web application using React and Java, resulting in a 25% increase in user engagement and a 40% reduction in page load times, driving significant improvements in user experience and system performance. Technical Skills

• Programming Languages: Java 8/11/17, J2EE, JavaScript

• Web Technologies: HTML5, CSS3, XML, JSON, Bootstrap, AJAX, JSF, JSP, Servlets, JavaBeans, Angular 8/9, AngularJS, React.js, Node.js, Redux, RxJS

• Frameworks & Libraries: Spring Core, MVC, Boot, Security, WebFlux, Hibernate, Play, Log4J2, JDBC, JSTL, Lombok, Thymeleaf, Microservices Architecture, OpenAPI/Swagger

• Servers & Middleware: Tomcat, JBoss, WebSphere, Jetty, GlassFish, WebLogic, Apache

• Messaging & Event Streaming: ActiveMQ, RabbitMQ, Kafka, Api Development

• Web Services & API: REST, SOAP, WSDL, JAX-WS, JAXP, XSLT, XSD, Postman, REST Assured, OAuth2, JWT, SSO

• Databases: Oracle, MySQL, MS SQL Server, MongoDB, Cassandra, CouchDB, PL/SQL, Relational Databases

• Cloud Technologies: AWS EC2, S3, RDS, VPC, Lambda, CloudFormation, IAM, Route 53, CloudWatch, Auto Scaling, EBS, SNS, Azure.

• Containers & Orchestration: Docker, Kubernetes, Helm, Red Hat OpenShift, Containerization

• DevOps & CI/CD Tools: Maven, Gradle, ANT, Jenkins, Git, GitLab, Bitbucket, SVN, Terraform, SonarQube, Cloud Foundry, Continuous Integration and Continuous Delivery

• Testing Tools: JUnit, Mockito, Selenium, Cypress, Protractor

• Monitoring & Logging: Prometheus, Grafana, ELK Stack Elasticsearch, Logstash, Kibana, CloudWatch

• Development Methodologies: Agile Scrum, Kanban, TDD, BDD, Waterfall, SDLC, UML, Design Patterns, OOAD, SOA, EAI

• Collaboration & Project Management: JIRA, Confluence, Pair Programming, Code Reviews

• Operating Systems: Windows, Linux Ubuntu, MacOS, UNIX Work Experience

Client- Aflac Java Full Stack Developer Oct 2024- Present Java Full Stack Developer

Project Description: At Aflac, I contributed to building a cloud-native Claims Processing & Billing Automation platform to streamline insurance claims, policy billing, and customer account management. The system is integrated with underwriting, CRM, and third party payment services, supporting millions of users across web and mobile. Built with Java 11, Spring Boot, Angular 8, and AWS, the platform enabled real-time claim status tracking and billing updates. It modernized legacy systems, reduced manual processing, and improved SLA compliance and customer satisfaction. Responsibilities:

• Designed and implemented complex business process workflows using JBPM to automate financial transaction approvals and exception handling, reducing manual intervention by 40% and ensuring compliance with internal SLAs.

• Built and deployed 20+ microservices with Spring Cloud and Spring Data JPA, streamlining claim submissions, billing, and account updates.

• Developed responsive UI components using Angular 8, HTML5, and Bootstrap, enhancing policyholder experience and reducing page load time by 40%.

• Implement the development of a cloud-based Claims Processing & Billing Platform using Java 11, Spring Boot, Hibernate, and REST APIs, reducing downtime and improving modularity.

• Integrated internal underwriting, CRM, and third-party payment systems through REST/SOAP APIs, automating key workflows and reducing manual processing.

• Optimized MongoDB, Cassandra, and MySQL databases to support large-scale data and reduced query latency by 50% through indexing and caching.

• Developed CI/CD pipelines using Jenkins, Docker, Maven, and Git, automating testing, builds, and deployments across Dev, QA, and Production, reducing release cycle time from two weeks to less than 8 days.

• Deployed and monitored services on AWS EC2, S3, Lambda, RDS, CloudWatch to ensure 99.9% uptime and meet SLA compliance.

• Utilized RabbitMQ and ActiveMQ for real-time claims and billing event handling, achieving 99.5% delivery rates with retry and DLQ strategies. Migrated platform components from Java 8 to Java 11, improving performance and enabling access to new language features.

• Enhanced observability through Log4j, Splunk, and AWS CloudTrail, improving issue detection and resolution times by 70%.

• Strengthened application observability by integrating Log4j, Splunk, and AWS CloudTrail, enabling faster incident resolution through centralized monitoring and alerting.

Environment: Java 8/11, Spring Boot, Spring MVC, Spring Security, Hibernate, REST, SOAP, Angular 8, Node.js, AWS EC2, S3, Lambda, RDS, Jenkins, Docker, Git, Maven, MongoDB, Oracle, RabbitMQ, ActiveMQ, JIRA, Agile/Scrum Client- Fidelity Investments Java Full Stack Developer Jan 2024- Jul 2024 Project Description: At Fidelity Investments, I modernized the Loan Origination Platform to streamline loan applications, credit evaluation, and lender matching for retail and institutional clients. The platform integrated real-time data from credit bureaus and banking systems to enable faster loan pre-qualification and processing. Migrated the legacy monolithic system to a scalable, cloud- native microservices architecture using Java 11, Spring Boot, and Spring Cloud, improving performance and reliability. Developed a responsive frontend with Angular 8 and implemented secure access controls using Spring Security and OAuth 2.0. Leveraged AWS EC2, Lambda, RDS, S3 for deployment and automation with Jenkins and Docker, significantly reducing downtime and release cycles. This modernization enhanced operational efficiency and customer satisfaction. Responsibilities:

• Migrated a monolithic loan origination platform to a microservices-based architecture using Java 11, Spring Boot, and Spring Cloud, increasing scalability and reducing service response time by 40%.

• Designed and implemented 20+ RESTful microservices for modules like Loan Application, Credit analysis, and Lender Matching, ensuring efficient and stateless service orchestration.

• Integrated JBPM process definitions with Spring Boot microservices to enable dynamic task assignments, rule-based decisioning, and real-time process monitoring, improving operational efficiency and reducing process turnaround time by 35%.

• Built responsive web interfaces with Angular 8, HTML5, and SCSS, improving user engagement by 30% and reducing page load times by 25%.

• Integrated third-party credit bureaus Experian, TransUnion and bank APIs via REST/SOAP for real time loan pre-qualification for over 1 million users.

• Secured application access using Spring Security, OAuth 2.0, and implemented PII/PCI compliance in line with SOC2 and GDPR standards.

• Deployed services to AWS EC2, Lambda, RDS, S3 using CloudFormation and IAM, ensuring high availability 99.95% uptime.

• Tuned database performance using MongoDB and MySQL, achieving 30% faster query execution and real-time data accessibility.

• Automated CI/CD workflows using Jenkins, Docker, and GitLab, improving deployment speed and reducing manual errors.

• Implemented centralized logging and monitoring with CloudWatch, Splunk, and Log4j, cutting incident resolution time by 60%.

• Participated in Agile SCRUM practices, led sprint planning and reviews, and collaborated with a cross-functional team to ensure timely and quality feature delivery.

• Collaborated with cross-functional teams including Product Owners, DevOps, and QA to define feature requirements, ensure seamless deployments, and align deliverables with business objectives.

• Performed code reviews, enforced coding standards, and mentored junior developers, improving overall code quality and team productivity.

Environment: Java 11, Spring Boot, Spring Cloud, Microservices, Angular 8, HTML5, SCSS, Bootstrap, REST, Hibernate, MongoDB, MySQL, AWS EC2, RDS, S3, Lambda, CloudFormation, IAM, CloudWatch, Jenkins, Docker, GitLab, RabbitMQ, Splunk, JIRA, Agile/Scrum Client- Deloitte Java Full Stack Developer Jul 2021-May 2023 Project Description: At Deloitte, I helped build a Tax Compliance & Analytics Automation Platform to streamline real-time tax data ingestion, validation, reconciliation, and reporting for global clients. The system integrated financial data from ERP platforms like SAP and Oracle to ensure compliance with VAT, GST, and other tax regulations. I developed Java 11 microservices with Spring Boot, using Apache Kafka for data streaming and RabbitMQ for asynchronous communication. The backend used PostgreSQL and MongoDB for transactional and flexible data storage. Services were containerized with Docker and deployed on AWS ECS through Jenkins CI/CD pipelines. The platform included JWT-based security, caching for improved performance, and REST APIs for integration with Deloitte’s analytics tools, delivering a scalable, secure, and audit-ready solution. Responsibilities:

• Contributed to developing a Tax Compliance & Analytics Automation Platform at Deloitte, automating real-time tax data ingestion, validation, reconciliation, and reporting by integrating ERP data from SAP and Oracle to ensure global VAT and GST compliance.

• Developed and maintained RESTful microservices using Java 11, Spring Boot, and Spring Data JPA to handle large-scale tax and financial data processing with high reliability and scalability.

• Engineered real-time data pipelines with Apache Kafka for streaming financial transactions and RabbitMQ for asynchronous microservices communication, reducing data latency by 45%.

• Designed and optimized complex queries in PostgreSQL and MongoDB to support transactional workloads and flexible reporting, improving query performance by 30%.

• Refactored legacy code into modular microservices, enhancing system scalability and reducing response time by 30%.

• Collaborated with DevOps to containerize services using Docker and deploy on AWS ECS via Jenkins CI/CD pipelines, decreasing deployment times by 60%.

• Participated actively in Agile Scrum ceremonies, including sprint planning and backlog grooming, contributing to a 95% sprint completion rate.

• Implemented comprehensive unit and integration testing with JUnit and Mockito, achieving over 85% code coverage and reducing production bugs by 40%.

• Applied secure coding standards, implementing JWT-based authentication and role-based authorization to ensure data security and regulatory compliance.

• Worked closely with QA to identify, resolve defects quickly, improving overall software quality and stability.

• Improved application performance through caching and asynchronous processing, reducing API response and page load times by 35%.

• Mentored junior developers and conducted code reviews, promoting best practices that boosted team productivity by 25% and reduced code issues by 20%.

• Integrated third-party APIs and internal systems to enable seamless data exchange, cutting integration time by 50%.

• Automated deployment and testing pipelines using Jenkins and Docker, reducing release cycles from hours to under 20 minutes. Environment: Java 11, Spring Boot, Spring Data JPA, Apache Kafka, RabbitMQ, PostgreSQL, MongoDB, Docker, AWS ECS, Jenkins, Maven, JUnit, Mockito, RESTful APIs, JWT Authentication, Agile/Scrum, ELK Stack Elasticsearch, Logstash, Kibana, Prometheus, Grafana, Microservices Architecture.

Client- Vodafone Group Java Full Stack Developer Jan 2020-Jun 2021 Project Description: Worked with the development team that built a scalable and modular ERMS for Vodafone’s enterprise operations, focused on automating and optimizing their telecom-specific supply chain activities. The project supported end-to-end workflows across procurement, inventory management, production planning, and order fulfilment of telecom equipment such as routers, SIMs, and customer-premises devices. The ERM was integrated into Vodafone's existing OSS/BSS architecture and designed as a microservice- based system, enabling real-time coordination between procurement, warehousing, and field service operations. Responsibilities:

• Developed and deployed backend microservices using Java 11, Spring Boot, and Hibernate, each service handling a specific domain like procurement, inventory, or sales.

• Designed and exposed 20+ RESTful APIs for internal modules and external integrations using OAuth2 and JWT for secure access. These APIs were used by frontend teams and third-party logistics systems.

• Wrote complex SQL queries and optimized stored procedures in MySQL to improve system performance. My query optimizations led to a 30% reduction in average backend response time.

• Integrated Redis caching to handle frequently accessed data such as stock availability and product metadata, resulting in 40% latency reduction in real-time reporting modules.

• Used RabbitMQ and Kafka for asynchronous communication between services, ensuring reliable event processing and reducing service coupling.

• Implemented centralized exception handling and validation mechanisms, improving system stability and reducing production issues by 25%.

• Worked closely with frontend developers and QA teams to ensure seamless API consumption and data accuracy across modules.

• Wrote unit and integration tests using JUnit and Mockito, achieving 85%+ code coverage, and integrated them into Jenkins CI/CD pipelines.

• Participated in Agile ceremonies including sprint planning, standups, and retrospectives. Our team consistently delivered 95% of planned sprint goals and improved delivery speed by 15%.

• Deployed services on AWS using Docker and Kubernetes EKS, and maintained observability using Prometheus, Grafana, and ELK Stack for monitoring and log analytics.

• Contributed to significant business outcomes, including a 30% reduction in stock-outs, 20% decrease in inventory holding costs, and a 50% improvement in order processing time by delivering a high-performing, automated backend system tailored to Vodafone's enterprise telecom operations.

Environment: Java 11, Spring Boot, Hibernate, Spring Data JPA, MySQL, Redis, Kafka, RabbitMQ, RESTful APIs, OAuth2, JWT, Docker, Kubernetes EKS, Jenkins, Maven, JUnit, Mockito, Postman, Prometheus, Grafana, ELK Stack, AWS EC2, RDS, S3, Elastic Beanstalk Emp-Hinduja Global Solutions Jr. Java Developer Oct 2017-Dec 2019 Project Description: Developed and enhanced a scalable Customer Support Management System CSMS to optimize call centre workflows, ticket lifecycle management, and multi-channel customer interaction tracking. The platform leveraged microservices architecture and RESTful APIs to enable seamless integration with CRM and telephony systems, facilitating real-time agent-customer communication and automated ticket routing. Advanced analytics modules were incorporated using data aggregation and visualization tools, empowering managers with actionable insights into service performance, SLA compliance, and agent productivity. The solution utilized asynchronous messaging queues for efficient event handling and incorporated robust security protocols to protect sensitive customer data.

Responsibilities:

• Developed and enhanced over 20 backend modules using Java 8, Spring MVC, and Hibernate, supporting core functionalities such as ticket management, agent allocation, and SLA tracking.

• Built and integrated 15+ RESTful APIs to enable seamless data exchange between the customer portal, internal tools, and third- party CRM systems.

• Collaborated with database team to optimize 50+ SQL queries, reducing report generation time by 30%.

• Supported the migration of legacy code to Spring-based architecture, contributing to improved maintainability and25% reduction in bug turnaround time.

• Wrote 100+ unit and integration tests using JUnit and Mockito, ensuring code coverage and decreasing posed deployment issues by 20%.

• Resolved more than 100 production bugs and support tickets, working closely with QA and support teams to ensure timely issue resolution and minimal downtime.

• Contributed to the automation of daily build and deployment processes using Jenkins, reducing manual intervention by 50%.

• Participated in code reviews and peer programming sessions, receiving recognition for clean code and adherence to coding standards.

• Maintained project documentation and API references in Confluence, improving onboarding time for new team members by 40%.

• Actively engaged in Agile sprints, collaborating with cross-functional teams to deliver user stories consistently within deadlines and improving sprint goal completion rate by 15%.

Education:

• Master of Science in Information Systems from Indiana Institute of Technology, IN, USA-2025

• Bachelor’s in Computer Science (B. Com) from University College for Women, India, 2018



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