Full-Stack Java Developer with Cloud Expertise

Gora Sai Kumar Reddy Java Developer

*****************@*****.*** +1-913-***-**** LinkedIn

SUMMARY

Full Stack Developer with 4+ years of experience building scalable, secure, and cloud-ready enterprise applications using Java, Spring Boot, React.js, Node.js, TypeScript, and AWS. Proven success delivering high-availability platforms for banking, finance, and global technology clients. Specializes in microservices, API engineering, event-driven systems, and performance tuning, achieving measurable gains including 40% faster response times, 50% shorter deployment cycles, and support for millions of daily transactions. Adept at CI/CD automation, database optimization, containerized deployments, and delivering clean, reliable, production-ready code across Agile environments. Recognized for strong analytical skills, collaborative execution, and driving end- to-end technical delivery.

SKILLS

• Programming: Java, Python, JavaScript (ES6+), TypeScript, SQL, HTML5, CSS3, PHP

• Frontend: React.js, Angular, Vue.js, Next.js, jQuery, Bootstrap, Material-UI, Tailwind CSS

• Backend: Spring Boot, Node.js, Express.js, Django, Flask, Hibernate, .NET Core

• Databases: MySQL, PostgreSQL, Oracle, MongoDB, Cassandra, Redis, DynamoDB

• Cloud: AWS (EC2, S3, Lambda, RDS, CloudFront, API Gateway), Azure, Google Cloud

• DevOps: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, Docker, Kubernetes, OpenShift, Terraform, Ansible

• APIs: RESTful APIs, GraphQL, SOAP, JSON, XML, gRPC

• Big Data & Streaming: Kafka, Spark, Hadoop, Kinesis

• Testing: JUnit, Mockito, Selenium, Cypress, Jasmine, Karma, Postman

• Tools: Git, GitHub, GitLab, Bitbucket, Jira, Confluence, Tomcat, Nginx, Swagger/OpenAPI

• Architecture: Microservices, Event-Driven Architecture, Serverless, MVC, MVVM WORK EXPERIENCE

Bank of America USA Full Stack Developer Jan 2025– Present

• Built enterprise banking platforms using Java, Spring Boot, React, and TypeScript, enabling 500K+ secure monthly transactions and increasing workflow performance by 28% across critical customer-facing financial systems.

• Engineered AWS-based microservices with Lambda, API Gateway, RDS, and S3, delivering 25+ production APIs that reduced transaction latency by 35% and supported over one million daily API calls.

• Improved backend performance by optimizing PostgreSQL queries, integrating Redis caching, and applying Kafka messaging, resulting in 40% quicker responses and significantly enhanced user concurrency during peak banking transactions.

• Automated CI/CD delivery pipelines using Jenkins, Docker, Kubernetes, and GitHub Actions, enabling zero-downtime deployments and reducing overall release cycles by 50% for multiple high-impact banking applications.

• Leveraged Python scripts to automate data validation, log analysis, and API regression workflows, reducing manual review time by 22% and improving overall release reliability across critical banking services. Accenture USA Software Engineer Jun 2024 – Dec 2024

• Delivered over ten enterprise applications using Spring Boot, Angular, and React, sustaining 99.9% uptime while supporting globally distributed clients across eight regions with complex integration and performance requirements.

• Designed and standardized over fifty REST APIs, significantly improving real-time processing capabilities for 200K+ users and increasing operational efficiency by 30% across various enterprise system environments.

• Enhanced analytics performance by optimizing MySQL, PostgreSQL, and MongoDB queries, reducing reporting cycles by 35% and enabling near real-time data insights for numerous business-critical dashboards.

• Created production-grade CI/CD pipelines using Jenkins, Docker, and Kubernetes, eliminating 70% of release errors and doubling successful deployment frequency for enterprise software delivery teams.

• Utilized Python automation frameworks to streamline API testing, data transformation, and monitoring tasks, improving engineering productivity by 18% and accelerating delivery across multiple enterprise client applications. IBM India Software Engineer May 2021 – July 2023

• Built enterprise applications using Java, Spring Boot, Node.js, and Angular, supporting thousands of concurrent users and ensuring strong system stability across multiple globally distributed IBM client platforms.

• Improved backend throughput by optimizing PostgreSQL and Oracle queries, implementing Redis caching, and restructuring slow services, reducing dashboard load times by forty percent for key reporting applications.

• Developed Python-based utilities for system monitoring, ETL processing, and automated reporting, reducing operational overhead by 25% and enhancing efficiency for large-scale enterprise integration teams.

• Automated DevOps pipelines using Jenkins, Maven, and Docker, accelerating build, testing, and deployment processes while removing significant manual bottlenecks for various enterprise software delivery cycles. EDUCATION

• Master of Science in Computer Science

University of Central Missouri, MO

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