java full stack developer

Atchutch

+1-469-***-**** *****.************@*****.***

Professional Summary

● Proficient in designing and developing scalable microservices using Java and SpringBoot, with extensive experience in creating RESTful APIs and implementing responsive front-end applications using React, Node.js, and TypeScript. Ensures seamless integration between front-end and back-end systems, reducing application load times and enhancing user experience.

● Demonstrated expertise in leveraging AWS services to deploy containerized SpringBoot microservices. Delivered highly scalable and efficient solutions, including real-time streaming systems and global deployment architectures, ensuring optimal performance and availability.

● Experience in implementing CI/CD pipelines with Jenkins, achieving up to 90% code coverage through rigorous unit testing with JUnit and Mockito. Adept at cross-functional collaboration, code reviews, and mentoring, consistently driving efficiency and ensuring high-quality code delivery. TECHNICAL SKILLS:

Web Technologies HTML, HTML5, XML, CSS, BootStrap, JavaScript, TypeScript, jQuery, AJAX, JSP, DOM, Responsive Web Design,JSON

Java Technologies Java EE (J2EE), Spring Boot, Spring MVC, Hibernate, JPA, Servlets, JDBC, Apache Tomcat, Apache ActiveMQ, JSP, EJB

Scripting React, Node.js, Redux, Angular

Cloud Technologies AWS - EC2, Lambda, SQS, SNS, FireHose, S3, Code Commit, CodeBuild, CodeDeploy, CloudWatch, Azure Service Bus, Azure SQL, Azure Event Grid, AzureFunctions Database Oracle, MySQL, PostgreSQL,MongoDB, Redis, DynamoDB Web Services RESTful, GraphQL, CoAP, SOAP

Testing frameworks JUnit, Mockito, PowerMock, Cypress Operating Systems Windows, UNIX, LINUX, Mac OS

Tools Git, GitHub, GitLab, JIRA

Build Tools and IDE’s Maven, IntelliJ, Eclipse, Spring Tool Suite, Jenkins, VisualStudio Work Experience

Software Developer Abbott -- Columbus, Ohio. Feb 2024 - Present Roles and Responsibilities:

● Architected and optimized scalable microservices using Java and Spring Boot, integrated with Kafka, improving system responsiveness by 40%.

● Designed and implemented responsive front-end applications with React, Node.js, and JavaScript, reducing load times by 25%.

● Developed multi-threaded Java utilities using J2SE concurrency APIs (ExecutorService, Future) to handle parallel data processing and improve throughput

● Applied core J2SE features, including collections framework, generics, and streams API to build efficient data transformation and business logic layers

● Developed Java-based web applications utilizing JSP, Servlets, and JDBC, ensuring efficient data handling and dynamic content generation.

● Delivered full-stack solutions using RESTful APIs, GraphQL, and PostgreSQL, while increasing deployment frequency by 50% via Jenkins CI/CD pipelines.

● Implemented multithreaded processing in Java microservices to handle concurrent API requests and background tasks.

● Built a reusable React JS component library with hooks and context API to support dynamic, responsive UI features across the enterprise application

● Collaborated across teams to define architecture, design patterns, and workflows for microservices, enabling seamless integration and scalability.

● Implemented Apache ActiveMQ–based message queues to enable reliable asynchronous communication between distributed microservices, improving inter-service scalability.

● Deployed Spring Boot based micro services Docker container using Amazon EC2 container services and using AWS admin console.

● Configured and optimized Apache Tomcat for deploying Java-based web applications, ensuring high availability and improved request handling efficiency.

● Conducted code reviews and mentoring sessions, enhancing team productivity and ensuring adherence to coding standards.

● Containerized microservices using Docker, creating standardized images that eliminated environment inconsistencies across dev, staging, and production deployments

● Defined and maintained Dockerfiles and docker-compose configurations to streamline local development setup and reduce onboarding time for new team members

● Utilized Apache Kafka confluent distribution both as a traditional messaging message and stream platform.

● Deployed and orchestrated containerized Spring Boot microservices on AWS ECS and EKS, leveraging Kubernetes for automated scaling and high availability across production workloads.

● Developed event-driven AWS Lambda functions to process asynchronous workloads and integrate microservices, reducing infrastructure overhead and improving system responsiveness.

● Orchestrated multi-step serverless workflows using AWS Step Functions, coordinating Lambda functions and microservices with built-in retries and error handling to automate critical business processes.

● Built dynamic, interactive front-end features using JavaScript (ES6+) alongside React, enhancing UI responsiveness and client-side performance.

● Leveraged AI-assisted development tools such as GitHub Copilot and ChatGPT to accelerate feature development, code reviews, and debugging, improving development velocity and reducing time spent on repetitive coding tasks.

● Integrated AI/LLM capabilities into applications by consuming large language model REST APIs, building lightweight automation workflows for tasks such as summarization, content generation, and intelligent data processing.

ENVIRONMENT: Java, JavaScript, TypeScript, Spring Boot, J2SE, React, Node.js, Kafka, Jenkins, Apache Tomcat, Docker, AWS ECS, EKS, Lambda, Step Functions, EC2, Azure, PostgreSQL, RESTful APIs, GraphQL, IntelliJ, Log4J, Git, JUnit, Mockito

Software Development Engineer Amazon -- Seattle, WA Aug 2022 - Feb 2024 Roles and Responsibilities:

● Collaborated in an Agile Scrum environment within the Alexa Video Branch, leading the full-stack development of video application onboarding using Java, Spring, and cloud-native microservices architecture on AWS, contributing to a 35% increase in overall onboarding efficiency.

● Executed a critical backend migration project, refactoring legacy APIs using Java and Test-Driven Development

(TDD) to support future LLMs integration, increasing throughput to over a million calls per minute.

● Designed and implemented RESTful APIs using SpringBoot, focusing on microservices architecture for scalability and maintainability using Java 8 and Java 11 for backend development.

● Designed and maintained J2EE-based components using Servlets, JSP, and EJB for enterprise-level backend services within distributed architectures, ensuring high availability and modular code reusability across multiple microservices.

● Designed and deployed J2EE-based backend services using JAX-RS and Servlet APIs to expose RESTful endpoints consumed by internal and external clients

● Spearheaded end-to-end implementation of onboarding new video provider application onto Amazon Echo Show devices, impacting millions of consumers across North America. Delivered both frontend and backend solutions, guaranteeing smooth experience.

● Implemented AWS Lambda-based streaming information fetching system, integrating SQS, SNS, FireHose, and S3.

● Implemented CI/CD pipelines using AWS CodeCommit, CodeBuild, and CodeDeploy, streamlining application deployments and reducing deployment time by 40%.

● Engineered trailer pause/resume features for FireTV Stick using SpringBoot and AWS Services, benefiting 6 million North American customers.

● Utilized AWS CloudWatch in monitoring the logs across multiple regions in the United States.

● Provided round-the-clock production support, swiftly diagnosing and resolving customer-impacting issues, often in high-pressure, time-sensitive situations demonstrating accountability for ideal customer experience.

● Performed unit testing and test automation efforts using JUnit, and Mockito, achieving 90% code coverage and reducing regression testing time by 60%, ensuring robust code quality and accelerated delivery cycles.

● Facilitated cross-functional collaboration using Jira, GitHub, Agile Methodologies, improving team efficiency and dependency resolution by 25-30%.

● Deployed and managed containerized microservices on AWS ECS and EKS, using Kubernetes orchestration to scale Alexa video onboarding services across multiple AWS regions.

● Designed serverless orchestration with AWS Step Functions to coordinate AWS Lambda functions across the streaming pipeline, improving fault tolerance, retry handling, and end-to-end workflow visibility.

● Developed dynamic client-side functionality using TypeScript for Echo Show device interfaces, delivering smooth and responsive cross-device user experiences.

● Integrated Amazon DynamoDB for low-latency, high-throughput data storage, designing partition keys and access patterns to ensure scalable, single-digit-millisecond performance across high-traffic services.

● Leveraged Enterprise JavaBeans (EJB), Distributed Systems Architecture for managing complex business logic in large-scale applications.

ENVIRONMENT: Java 8/11, TypeScript, Spring Boot, AWS ECS, EKS, Lambda, Step Functions, SQS, SNS, S3, CloudWatch, CodeCommit, CodeBuild, CodeDeploy, JUnit, Mockito, Docker, Log4J, PowerMock, RESTful APIs, DynamoDB, MongoDB, LINUX, Agile Scrum, Jira, GitHub

Software Engineer HP Micro Focus -- Hyderabad, India Feb 2019 - Dec 2020 Roles and Responsibilities:

● Engineered an IoT data visualization SPA using Angular, deployed on Azure AKS with Kubernetes, achieving sub- 100ms response times.

● Developed and integrated Java Persistence API for seamless database interactions, optimizing query performance and data consistency across microservices.

● Automated 80% of test cases via Jenkins CI/CD, reducing defects by 30% and accelerating deployment cycles.

● Optimized SQL queries with complex joins and window functions for advanced data retrieval and performance improvements.

● Designed RESTful APIs using Java 8 and Spring Boot, ensuring secure and efficient data flow between microservices.

● Developed responsive front-end components using Angular and Bootstrap, enhancing UI consistency and improving user experience across multiple devices

● Collaborated in global Agile teams, participating in sprint planning and retrospectives to align with business goals.

● Documented technical designs and architecture, enabling knowledge sharing and team alignment.

● Designed and implemented a scalable, multi-protocol broker architecture with Node.js, integrating IoT protocols and ensuring high availability with containerized solutions via Docker and Kubernetes.

● Implemented QEST, an open-source multi-protocol broker architecture using Node.js to bridge IoT protocols

(MQTT, CoAP, REST), leveraging Redis as a high-performance message queue.

● Implemented ORM-based persistence using Hibernate and JPA, mapping complex IoT device and telemetry entities to streamline database access and reduce boilerplate data-layer code.

● Built automated ETL data pipelines using Apache Airflow for orchestration and AWS Glue for serverless data transformation, ingesting high-volume IoT telemetry into analytics-ready datasets.

● Integrated Elasticsearch to index and query IoT sensor data, powering fast full-text search and near real-time analytics within the data visualization SPA.

● Deployed containerized broker microservices on AWS Fargate, enabling serverless container execution that removed infrastructure management overhead while preserving auto-scaling and high availability.

● Worked on MongoDB database concepts such as locking, transactions, indexes, Sharding, replication, schema design.

● Migrated and deployed portions of the IoT platform to Microsoft Azure, leveraging Azure Kubernetes Service

(AKS) and Azure Service Bus to enable hybrid-cloud scalability and reliable cross-service messaging.

● Achieved a 20% reduction in QEST protocol integration time and implemented a resilient, containerized architecture using Docker and Kubernetes with auto-scaling capabilities and less than 0.1% downtime. ENVIRONMENT: Java 8, Node.js, ReactJS, Angular, Spring Boot, JPA, Hibernate, AWS EKS, Fargate, Glue, Azure, AKS, Docker, Kubernetes, Apache Airflow, Elasticsearch, MongoDB, Redis, MQTT, CoAP, REST, Jenkins CI/CD, JUnit, Mockito Education

Master’s in computer science, University of Central Missouri - 2022 Bachelor’s in computer science and engineering, JNTUH - 2020

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