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Naveen - Senior Full Stack Developer

[email protected]

Location: Jersey City, New Jersey, USA

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NAVEEN SAMUDRALA [email protected] | (908)-669-7792 | LinkedIn PROFESSIONAL SUMMARY Passionate Full Stack Java Engineer with over 10+ years of professional experience across all phases of the Software Development Life Cycle (SDLC), including requirement analysis, planning, design, development, testing, deployment, and support in both Agile (Scrum, Kanban) and Waterfall methodologies. Extensive experience leading and collaborating in Agile teams, practicing Test-Driven Development (TDD) using JUnit, Mockito, TestNG, and version control using Git, GitHub, GitLab, and Bitbucket, ensuring faster, higher-quality deliverables. Expertise in developing responsive and dynamic front-end applications using Angular (16, 8, 5, AngularJS), React.js, Backbone.js, Ext.js, and jQuery across finance and healthcare domains. Skilled in back-end development using Spring Boot 3, Spring Cloud, Spring MVC, AOP, DI, REST, and Spring Security, including OAuth2, JWT, and Single Sign-On (SSO) for secure microservices architecture. Proficient in Core Java 8 17, with strong knowledge of Multithreading, Collections, Generics, Annotations, Streams, Lambda expressions, and performance optimization that reduced CPU usage by 20% in high-traffic environments. Extensive experience with RESTful and RPC-style APIs, built using Java, Node.js (Express.js), Python (Django, Flask), and APIGEE Edge, implementing secure, scalable communication between distributed systems. Hands-on with Apache Kafka for event streaming and IBM MQ for enterprise-level secure messaging systems, enabling high-reliability real-time data exchange. Worked with various databases including Oracle, MySQL, PostgreSQL, IBM DB2, and Azure SQL, writing complex SQL/PLSQL queries, procedures, views, and triggers. Experience with NoSQL solutions like MongoDB, Cassandra, DynamoDB, and in-memory data stores such as Redis and Memcached to accelerate data access and improve application performance. Extensive experience in cloud development using AWS (Lambda, S3, RDS, Aurora, ECS, ELB, CloudFormation, CloudWatch, CloudTrail, IAM, VPC, SQS), Azure (Functions, Event Grid, API Management, VNets, Subnets), and GCP to build scalable and secure applications. Successfully implemented microservices architectures using Spring Boot, Docker, and Kubernetes, with deployment and orchestration on AWS and PCF (Pivotal Cloud Foundry). Experience in implementing Microservice patterns like Aggregator, Proxy Chaining, Hystrix, and Service Locator, contributing to high-availability distributed systems. Used Maven and Gradle as build tools, SonarQube for static code analysis, and participated in CI/CD pipelines using Jenkins to automate deployment processes. Proficient in setting up and configuring pod security policies (PSP) in Kubernetes, authoring YAML configurations for pod profiling (CPU/memory tuning), and reducing cloud infrastructure costs by analyzing AWS Trusted Advisor reports and managing Reserved Instances. Designed and maintained high-performance Service Bus Network (SBN) solutions and message-driven communication, ensuring low-latency and secure data transfer in distributed systems. Designed and deployed scalable, containerized applications using Docker, Helm, and Kubernetes (GKE, EKS), enabling zero-downtime rollouts, auto-healing, and horizontal pod scaling for critical services. Automated zero-downtime deployments using blue/green and canary strategies across Kubernetes and PCF clusters, ensuring minimal impact during rollout. Designed and deployed real-time data processing pipelines using Apache Flink, enabling low-latency event stream processing and windowed aggregations across high-throughput Kafka topics. Led production support and incident response for critical services, achieving SLA compliance with >99.98% uptime, using monitoring tools such as CloudWatch, Datadog, ELK Stack, and OpenTelemetry. Configured Datadog dashboards, alerts, and monitors for real-time visibility into service health, custom business metrics, and error rates, enabling fast triage and remediation. Automated log collection and correlation using Fluentd and Datadog Log Pipelines, integrating with Slack, PagerDuty, and ServiceNow for proactive alerting and ticketing. Performed postmortems and root cause analysis (RCA) for high-severity incidents, identified system bottlenecks, and implemented fixes to prevent recurrence. Optimized critical APIs by analyzing Datadog Flame Graphs, reducing P99 latency by 40% through JVM tuning, async processing, and caching strategies (Redis). Automated infrastructure provisioning and cloud resource management using Terraform, enhancing auditability, reusability, and reducing manual configuration drift across environments. Configured secure VPN tunnels using AWS Site-to-Site VPN, GCP Cloud VPN, and Azure VPN Gateway to support hybrid cloud deployments and cross-region data exchange with partners. Developed and maintained CI/CD pipelines using GitHub Actions, Jenkins, integrating quality gates, static code analysis, and automated rollback strategies to ensure robust delivery. Implemented centralized observability using Prometheus, Grafana, ELK stack, and OpenTelemetry, enabling proactive monitoring, distributed tracing, and reducing MTTR by over 50%. Hands-on experience with APIGEE Edge and Spring Cloud Gateway for API versioning, rate limiting, and OAuth2 token validation, ensuring secure and scalable API exposure. Led production support and root cause analysis during high-severity incidents using CloudWatch, CloudTrail, Kibana, and Zipkin, maintaining SLAs and system uptime above 99.98%. Leveraged GitHub Copilot to boost developer productivity by generating intelligent code suggestions, accelerating microservice development, test automation, and frontend component scaffolding across Java, Python, and Angular ecosystems. TECHNICAL SKILLS Programming Languages: Java (Core Java, Java 8,11,17,21), TypeScript, Python, SQL, PL/SQL. Web Technologies: HTML5, CSS3, jQuery, AJAX, Bootstrap, DOM, XHTML, Material-UI. Front-End Frameworks: Angular (8, 5, AngularJS), ReactJS, Redux, React Router, Vue. Back-End Frameworks: Spring Boot, Spring Cloud, Spring MVC, Spring Security, Spring Data JPA, Hibernate ORM, Node.js, Express.js, Django. Microservices & API Development: RESTful APIs, SOAP, gRPC, GraphQL, Swagger. Cloud Platforms: AWS (EC2, S3, Lambda, ECS, API Gateway, RDS, IAM), Azure (Blob Storage, Virtual Machines, Functions, API Management), Google Cloud Platform (GCP). Containerization & Orchestration: Docker, Kubernetes, Helm. CI/CD & Build Tools: Jenkins, GitHub Actions, Maven, Gradle, Gulp, NPM. Database Management: MySQL, PostgreSQL, MongoDB, Cassandra, Oracle, Redis. Logging & Monitoring: Log4j, JProfiler, New Relic, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Messaging & Streaming: Apache Kafka, RabbitMQ, AMQP. Application Servers: Oracle WebLogic Server, IBM WebSphere Agile & DevOps: Agile methodologies (Scrum), JIRA, Git, Bitbucket, GitLab, CI/CD. Testing & Debugging: Jasmine, Karma, Protractor, JUnit, Mockito, Cucumber, Selenium WebDriver. Other Tools & Technologies: Github copilot, Eclipse IDE, IntelliJ IDEA, Visual Studio Code, Terraform. PROFESSIONAL EXPERIENCE Mastercard: June 2023 - Current (Location: Purchase, NY) Senior Java Full Stack Developer Developed and maintained backend microservices using Java and Spring Boot, implementing scalable RESTful APIs and integrating with external systems. Applied advanced Java features such as Streams, Records, Sealed Classes, and Pattern Matching to write expressive and efficient backend logic in microservices. Applied design patterns such as DAO, Builder, and Factory to standardize data access logic and simplify object construction across microservices. Developed scalable RESTful APIs using Spring Boot, Spring Data JPA, and Hibernate ORM, enabling secure, high-throughput financial transactions for critical enterprise applications. Developed complex, high-performance data access layers using Spring JDBC Template and native SQL queries for scenarios where JPA was insufficient, including bulk inserts, batch updates, and query hints, achieving significant improvements in execution time and resource usage for critical reporting modules. Integrated Spring Security, OAuth2, and Vault to implement secure access control and credential management in backend systems. Architected mission-critical Kafka pipelines for real-time payment processing, optimizing producer throughput, partitioning strategy, and consumer lag monitoring for low-latency, fault-tolerant event delivery across financial systems. Developed distributed microservices with Spring Boot and Kafka, leveraging custom serializers, schema evolution via Avro, and transactional producers to guarantee data integrity across chained workflows. Tuned Kafka brokers for optimal performance using compression, batch sizing, and replication settings, reducing I/O overhead and achieving consistent sub-10ms end-to-end message delivery SLAs. Designed dynamic web applications using Angular, HTML5, CSS3, JavaScript, delivering responsive UIs with Reactive Forms, Animations, and Material Design components. Implemented secure, efficient HTTP Client modules in Angular for optimized API interactions, improving data retrieval performance, reliability, and overall frontend responsiveness. Architected stateful client-side logic with Angular RxJS, Redux, and reusable components to deliver complex dashboards, ensuring seamless user workflows and interactive data visualization. Developed front-end unit and E2E tests using Jasmine and Protractor for Angular workflows to validate dynamic form rendering and case review UX flows. Designed enterprise-grade REST APIs and contributed to GraphQL API implementations, enabling flexible, efficient data retrieval and client-driven querying for modern frontend integrations. Implemented the API Gateway architectural pattern to unify and manage all external and internal service requests, enhancing centralized routing, load balancing, rate limiting, and improving observability and scalability across distributed microservices. Optimized relational schemas in PostgreSQL, Oracle, MySQL to ensure ACID compliance, support high-concurrency OLTP workloads, and maintain reporting accuracy across complex distributed financial systems. Engineered flexible, schema-less MongoDB models integrated with Apache Solr, delivering high-performance search, indexing, and real-time data retrieval across varied document-based use cases. Leveraged advanced SQL tuning, query hints, and Spring JDBC Template to optimize low-latency, high-throughput data processing across hybrid relational and NoSQL systems, improving performance for critical transaction flows. Implemented distributed caching with Redis and Memcached, reducing API response times by up to 65%, enhancing system scalability, and improving end-user experience for frequently accessed datasets. Designed intelligent cache invalidation strategies and TTL policies to maintain strong data consistency across dynamic, real-time systems handling rapidly changing transactional data and event-driven workflows. Built fully automated CI/CD pipelines using GitHub Actions, Jenkins, and Terraform, integrating unit, integration, regression, and smoke tests into deployment workflows, which accelerated delivery cycles and reduced staging-to-production release times by 30%. Deployed and managed enterprise Java applications on Oracle WebLogic Server, including WAR/EAR packaging, JDBC datasource configuration, and connection pool tuning. Enabled end-to-end system observability by integrating Prometheus and Grafana, delivering real-time performance metrics, dynamic visualizations, and custom alerting rules to support proactive production health monitoring. Standardized structured and contextual logging across all microservices using SLF4J with Logback, enabling seamless log correlation, trace ID propagation, and improved error categorization in observability platforms like Datadog and Kibana. Collaborated on API design and lifecycle governance using Swagger/OpenAPI, Postman, and APIGEE API Gateway, enabling standardized documentation, mock testing, and centralized rate limiting. Performed load and stress testing with JMETER, Mockito, and JUnit 5, achieving SLA compliance for throughput and response time even under peak TPS scenarios (1M+ transactions/day). Containerized Spring Boot microservices using Docker, enabling uniform builds, faster deployment cycles, and reduced environment drift across hybrid AWS and on-premises infrastructure. Created custom Dockerfiles and base images to optimize container startup time, memory usage, and build cache reusability for high-throughput, JVM-based microservices. Integrated Docker into Jenkins pipelines to support automated build, test, and deployment flows with environment-specific configurations and secrets management using Vault. Deployed microservices in Kubernetes using Helm, setting up ConfigMaps, secrets, affinity rules, and HPA to ensure robust, secure, and scalable platform deployments. Created Kubernetes YAML manifests and Helm charts for multi-environment workloads, improving deployment repeatability, version control, and rollback capability. Utilized Amazon S3 with encryption, lifecycle rules, and versioning to store documents and metadata securely, enabling auditability, compliance retention, and seamless integration with backend services. Developed event-driven workflows using AWS Lambda, triggering asynchronous processing for file ingestion, notifications, and metadata enrichment, reducing operational complexity and improving responsiveness of support pipelines. Configured and managed AWS EC2 instances for auxiliary services and monitoring agents, ensuring secure access via IAM roles, Security Groups, and automated provisioning using infrastructure-as-code. Deployed microservices to Amazon EKS clusters with Docker and Kubernetes, improving scalability and fault tolerance across high-throughput messaging flows and partner-facing financial applications. Developed Python scripts for automating data validation and ETL processes, streamlining batch reconciliation between transactional systems and reducing manual effort by 40%. Accelerated development workflows by leveraging GitHub Copilot for context-aware code suggestions in Java, Spring Boot, and Angular, reducing boilerplate coding time and increasing focus on business logic. Used GitHub Copilot to prototype unit tests, data models, and REST controller scaffolds, streamlining initial implementation and improving development velocity across microservices and frontend modules. Environment: Java, Python, Spring Boot, Spring Cloud, PostgreSQL, Oracle, MongoDB, Kafka, RabbitMQ, Redis, Memcached, GraphQL, REST APIs, Angular, HTML5, CSS3, JavaScript, TypeScript, Github copilot, Spring Data JPA, Hibernate ORM, Spring JDBC Template, Jenkins, GitHub Actions, API gateway, Terraform, Kubernetes, Docker, Prometheus, Grafana, ELK Stack, Datadog, AWS (EC2, S3, Lambda, CloudTrail, EKS, Route 53, VPN), JUnit 5, Mockito. Morgan Stanley: August 2020 - May 2023 (Location: New York, NY) Senior Java Full Stack Developer Designed and developed backend microservices using Java, Spring Boot, and Spring Cloud, enhancing workflow automation and system efficiency. Migrated monolithic systems to Spring Boot microservices, improving deployment frequency, fault isolation, and system scalability across cloud and on-premise environments. Developed RESTful APIs secured with Spring Security, OAuth2, and JWT, enabling enterprise-grade authentication and authorization across internal and external services. Implemented API throttling using Redis-backed token buckets and Spring filters, protecting backend services against abuse while ensuring SLA compliance. Built Angular applications with NgRx for state management, Angular Material components, achieving modular, scalable, and maintainable frontend architecture. Integrated REST and GraphQL APIs using Angular HttpClientModule with GET, POST, PUT, DELETE operations, ensuring reactive UI performance and seamless API interactions. Developed responsive UIs using HTML5, CSS3, JavaScript, and Angular Material, improving cross-device usability and user experience consistency. Integrated OAuth2 with external SSO providers for secure authentication in internal web applications, aligning with enterprise identity policies. Designed and implemented API Gateway solutions to manage, secure, and throttle RESTful APIs, enabling centralized authentication, request routing, and seamless integration with backend microservices. Designed scalable Kafka infrastructure with fine-grained topic configurations, secure SSL/SASL encryption, and ACLs, supporting multitenant data pipelines across trading, compliance, and reporting domains. Implemented advanced Kafka Streams applications with windowed joins, aggregations, and state stores, enabling intelligent real-time transformation of financial data across microservices. Integrated Kafka Connect for fault-tolerant data pipelines between Oracle, MongoDB, and Elasticsearch, enabling seamless batch-to-stream hybrid architecture and near real-time analytics. Designed optimized database schemas and ETL pipelines in PostgreSQL, MySQL, and Oracle DB, improving query performance by 30%, enhancing data quality, and supporting advanced compliance reporting. Integrated MongoDB and Cassandra for flexible handling of semi-structured NoSQL data, improving scalability, dynamic schema support, and enabling efficient data modeling across microservices. Integrated Redis and Memcached for distributed caching, reducing API latency by 25% and lowering database load under peak traffic. Integrated SonarQube quality gates into GitHub Actions and Jenkins CI/CD pipelines, ensuring code quality, security vulnerability scanning, and threshold enforcement before promoting builds to staging and production. Designed lightweight and multi-stage Dockerfiles for Spring Boot microservices, reducing image size by 60% and improving container startup times during AWS containerized deployments. Deployed Dockerized apps in Kubernetes clusters, coordinating rollout strategies and resource constraints to maintain performance and availability of mission-critical financial workloads. Enhanced Kubernetes Helm chart configurations for containerized deployments on AWS EKS, supporting blue-green and canary deployments during CI/CD workflows. Designed and implemented real-time monitoring dashboards and alerting systems using Prometheus, Grafana, and Kibana, which helped reduce production incident response times by 30% and enabled proactive operational insights. Built scalable GraphQL APIs to power dynamic analytics dashboards, significantly minimizing frontend over-fetching by over 60% and improving data retrieval efficiency and user experience. Authored robust unit and integration tests using JUnit and Mockito, achieving over 80% code coverage and ensuring the stability of CI pipelines through reliable automated test execution. Provided hands-on support for production systems through on-call rotations, performing root cause analysis (RCA) to reduce MTTR and enhance overall system reliability and uptime. Played a key role in production support, resolving P1/P2 incidents by analyzing application and system logs through Kibana, and deploying urgent hotfixes via CI/CD pipelines during mission-critical situations. Collaborated closely with product owners, compliance stakeholders, and QA teams to gather requirements, write user stories, and successfully deliver over six major feature releases across multiple Agile sprint cycles. Integrated AWS S3 and Lambda to offload compliance report storage and trigger downstream processing, improving scalability and decoupling file-heavy workflows from core microservices. Deployed microservices to Amazon EKS clusters with Terraform, enabling automated, auditable provisioning of containerized workloads and improving high availability across critical cloud-native applications. Configured AWS CloudWatch for centralized monitoring with custom metrics, dashboards, and alerting, reducing incident detection time by 40% across production services running on EC2 and EKS. Utilized Python for automating regression test execution and log analysis during backend service rollouts, significantly improving QA turnaround and deployment confidence. Authored Python utilities to transform API response payloads, generate mock data, and validate contract adherence during integration testing between microservices. Environment: Java, Python, Spring Boot, Spring Cloud, Spring MVC, Spring Security, OAuth2, REST, GraphQL, Kafka, Kafka Streams, PostgreSQL, Oracle DB, MongoDB, Redis, Memcached, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Prometheus, Grafana, Kibana, AWS(EC2, S3, EKS), JUnit, Mockito, API gateway, OpenTelemetry, Angular Johnson & Johnson: October 2017 - July 2020 (Location: New Brunswick, NJ) Senior Java Full Stack Developer Developed cloud-native platform using Java, Spring Boot, improving data accuracy, visibility, and platform performance for distributed global teams. Developed and deployed 15+ microservices using Java, Spring Boot, and Spring Cloud, handling core platform modules and ensuring robust service orchestration. Integrated with external platforms like Medidata Rave, Veeva Vault, and Oracle Argus via REST and SOAP (WSDL, Apache Axis) APIs, enabling real-time regulatory data exchange across systems. Developed reusable UI components with Angular 11+, Angular Material, and NgRx, improving user experience, modularity, and state management across the application. Integrated REST/SOAP APIs using Angular HttpClientModule, managing asynchronous data flows with Observables, improving performance and efficient API consumption. Built responsive UIs using HTML5, CSS3, JavaScript (ES6+), Angular Components, and Angular Flex Layout, delivering consistent cross-browser experiences. Designed and implemented complex workflows with Spring AOP, Spring Annotations, and IoC, enforcing cross-cutting concerns like logging, exception handling, and user session management. Designed event-driven systems using Kafka to decouple microservices handling regulatory workflows, using dead-letter queues and retry topics to ensure fault isolation and durable message handling. Configured and managed AWS EC2 instances to host backend services and monitoring agents, enforcing secure access with IAM roles, Security Groups, and automated deployment through infrastructure-as-code. Utilized Amazon S3 for encrypted, durable document storage with lifecycle policies, versioning, and replication, enabling secure file uploads, compliance retention, and integration with event-driven processing pipelines. Deployed containerized microservices to Amazon EKS clusters using Docker and Kubernetes, improving scalability, fault tolerance, and streamlined rolling updates for mission-critical cloud-native applications. Strengthened application resilience using Hystrix to implement the Circuit Breaker pattern, combined with real-time observability using AWS CloudWatch, SonarQube, and structured logging via SLF4J and Log4j, achieving consistent 99.98% uptime SLAs. Migrated legacy Oracle 10g and IBM DB2 relational databases to AWS Aurora (MySQL/PostgreSQL), improving query performance by 45% and enhancing transactional throughput for cloud-native services. Designed and deployed distributed NoSQL data models in AWS DynamoDB, enabling horizontal scalability, high-availability, and consistent low-latency access for critical business services. Developed complex PL/SQL procedures and database scripts, ensuring data integrity, enforcing business logic, and supporting high-volume reporting across modernized database platforms. Built base images and shared them via Docker Registry, standardizing image governance and reducing build duplication across globally distributed development teams. Deployed clinical microservices into Kubernetes, configuring readiness/liveness probes, pod affinity, and resource quotas to optimize service health and cluster stability. Built internal dashboards for Kubernetes resource monitoring using Prometheus and Grafana, helping dev teams track CPU/memory trends and react to performance anomalies. Streamlined build and release processes by automating CI/CD workflows using Jenkins, GitHub Actions, Docker, and Terraform, which reduced manual deployment effort and accelerated release cycles by 75%. Implemented secure authentication and authorization mechanisms using OAuth2 and JWT tokens, enabling Single Sign-On (SSO) integration and secure microservices communication across global environments spanning 25+ countries. Enhanced system test reliability and performance validation by delivering comprehensive API test coverage using tools like Insomnia, JMETER, and Postman, while achieving 90%+ code coverage through robust JUnit and Mockito test suites. Environment: Java, Spring Boot, Spring Cloud, Spring MVC, Spring AOP, Spring Security, REST, SOAP, Angular, RabbitMQ, Apache Kafka, Oracle 10g, IBM DB2, AWS Aurora (MySQL/PostgreSQL), DynamoDB, AWS(EC2, EKS, S3), Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, SonarQube, Prometheus, ELK Stack, JUnit 5, Mockito. Verizon: December 2015 - September 2017 (Location: Basking Ridge, NJ) Java Full Stack Developer Led the development of a scalable enterprise portal using Java, Spring Boot, and Spring MVC, delivering reliable backend services for a large user base. Designed and implemented nightly batch jobs using Spring Batch to efficiently process high-volume data records, improving processing times by over 30%. Built RESTful APIs using Spring MVC and documented them with Swagger for internal and external integration. Utilized Spring Data JPA with Hibernate for ORM, interacting with PostgreSQL, optimizing queries and connection pooling. Enabled real-time, bi-directional communication using Spring WebSockets, improving user experience through instant updates and event notifications. Secured microservices using Spring Security, OAuth2, and JWT, with centralized SSO integration using identity providers like Okta. Improved database performance by analyzing access patterns and distributing workloads strategically between Amazon RDS and DynamoDB, reducing read/write latency by 30%. Automated the entire CI/CD lifecycle with Jenkins, GitLab CI, and Maven, ensuring consistent, repeatable builds and deployment workflows across multiple environments. Embraced Test-Driven Development (TDD) using JUnit, Mockito, and Cucumber, ensuring over 90% code coverage, reducing post-deployment defects, and maintaining high-quality, production-ready releases. Environment: Java, Spring Boot, Spring MVC, Spring Security, Spring Batch, Spring Data JPA, Hibernate, Swagger, RESTful APIs, PostgreSQL, OAuth2, JWT, Jenkins, GitLab CI, Maven, JUnit, Mockito, Cucumber, Bootstrap. Tally Solutions: May 2014 - October 2015 (Location: Bangalore, India) Full Stack Developer Led the end-to-end development of a full-stack web portal, managing everything from UI design to backend APIs and cloud infrastructure, serving a large global user base. Engineered scalable backend APIs using Java, Spring MVC, and Hibernate, enabling efficient data flow and seamless system integration. Led the front-end revamp using HTML, Javascript, CSS and Bootstrap, creating reusable components and introducing two-way binding. Improved session time and reduced bounce rate. Optimized database performance in MySQL by implementing strategic indexing, fine-tuning lazy and eager loading strategies, and restructuring complex join queries, which resulted in a significant reduction in page load times and overall user experience improvement. Integrated robust role-based authentication and authorization mechanisms using Spring Security combined with JWT tokens, ensuring strict data isolation and secure access control tailored to user roles and privileges. Containerized multiple backend services using Docker, establishing consistent environment parity across development, staging, and production, which minimized deployment discrepancies and reduced environment-related bugs. Collaborated closely with QA teams to design and execute robust unit and integration tests leveraging JUnit, Mockito, and Selenium, achieving high test coverage and ensuring code quality before production releases. Actively engaged in Agile/Scrum ceremonies including sprint planning, backlog grooming, and daily stand-ups, contributing to accurate requirement analysis and delivering features consistently on schedule. Enhanced business reporting capabilities by implementing export functionalities to Excel and PDF formats and integrating these features with internal analytics platforms to facilitate better data-driven decision making. Environment: Java, Spring MVC, Spring Security, Hibernate, MySQL, JavaScript, HTML5, CSS3, Bootstrap, RESTful APIs, JWT, Maven, Git, Jenkins, Docker, Apache Tomcat, JUnit, Mockito, Postman, Shell Scripting, Agile, JIRA. EDUCATION Bachelor of Technology in Computer Science: 2010-2014 Amrita Vishwa Vidyapeetham Keywords: continuous integration continuous deployment quality analyst user interface user experience message queue javascript business intelligence sthree database procedural language Idaho New Jersey New York