Java Developer Stack

Sasi Kumar Vennapusa Full Stack Java Developer

Mail Mobile: 314-***-**** LinkedIn

PROFESSIONAL SUMMARY

Results-driven Full Stack Java Developer with 3+ years of experience designing, developing, and deploying scalable enterprise and cloud-native applications. Proficient in Java 21, Spring Boot, React, Angular, and microservices architecture, with proven expertise in building high-performance APIs (RESTful/GraphQL) and event-driven systems. Skilled in leveraging AWS and Azure cloud services, Kubernetes, and Docker to deliver secure, resilient, and HIPAA-compliant solutions. Adept at optimizing databases (PostgreSQL, Oracle, MySQL, DynamoDB) and implementing real-time data streaming with Kafka. Strong background in CI/CD automation, test- driven development, and observability practices using Prometheus, Grafana, and OpenTelemetry. Recognized for improving system performance, reducing deployment failures, and enhancing user experiences through modern UI frameworks. Collaborative team player experienced in Agile/Scrum environments, with a track record of aligning technical solutions to business objectives and driving measurable results.

TECHNICAL SKILLS

• Programming Languages: Java 21, JavaScript, TypeScript, SQL, PL/SQL

• Frameworks & Libraries: Spring Boot 3, Spring MVC, Spring Cloud, Hibernate, Quarkus, JUnit 5, Mockito, TestNG, Testcontainers, WireMock, REST Assured, Selenium, Redux Toolkit, Bootstrap

• Frontend Development: React 18, Angular 11, HTML5, CSS3, Tailwind CSS, Bootstrap, JavaScript, TypeScript

• API Development: RESTful APIs, GraphQL, HL7, FHIR, OpenAPI/Swagger

• Databases: PostgreSQL, Oracle, MySQL, SQL Server, Amazon Aurora (PostgreSQL-compatible), DynamoDB, Redis

• Messaging & Streaming: Apache Kafka, Kafka Streams

• Cloud Platforms: AWS (S3, Lambda, Aurora, DynamoDB, CloudWatch), Azure (App Services, Blob Storage, Monitor)

• Containerization & Orchestration: Docker, Kubernetes (K8s), ArgoCD

• CI/CD & Build Tools: GitHub Actions, GitLab CI, Maven, Gradle, Jenkins, Nexus

• Monitoring & Observability: AWS CloudWatch, Prometheus, Grafana, OpenTelemetry (OTel), Splunk, ELK Stack

• Security: OAuth 2.1, OpenID Connect, JWT, Zero Trust, HIPAA Compliance, Role-Based Access Control, Data Encryption

• Testing & QA: JUnit 5, Mockito, TestNG, Testcontainers, Selenium, WireMock, REST Assured, Postman

• Version Control & Collaboration: Git, Bitbucket, Jira, Confluence

• Development Practices: Agile/Scrum, Code Reviews, CI/CD Automation, Cloud Migration, Performance Optimization PROFESSIONAL EXPERIENCE

Progress Solutions Plano, TX

Java Developer Aug 2025 - Present

• Designed and developed high-performance RESTful and GraphQL APIs using Spring Boot 3, Java 21, and Virtual Threads, reducing response latency by 30% through optimized query execution.

• Implemented event-driven micro services architecture with Spring Cloud, Quarkus, Docker, and Kubernetes (K8s), improving scalability and reducing downtime by 35%.

• Built modern, responsive UIs with React 18, Redux Toolkit, TypeScript, and Tailwind CSS, enhancing user experience and increasing client satisfaction by 20%.

• Integrated AWS S3, AWS Lambda, Amazon Aurora (PostgreSQL-compatible), and DynamoDB, ensuring high availability, low latency, and robust security for cloud-native applications.

• Leveraged AWS CloudWatch, Prometheus, Grafana, and OpenTelemetry (OTel) for distributed tracing, performance monitoring, and observability, reducing incident resolution time by 40%.

• Optimized data pipelines with PostgreSQL, Redis, and Kafka Streams, tuning queries and applying advanced indexing/partitioning, achieving 25% faster transaction throughput.

• Automated CI/CD pipelines with GitHub Actions, GitLab CI, ArgoCD, and Maven/Gradle, reducing deployment failures and accelerating release cycles by 45%.

• Secured APIs using OAuth 2.1, OpenID Connect, and JWT, ensuring compliance with Zero Trust security principles and preventing unauthorized access.

• Conducted rigorous testing with JUnit 5, Testcontainers, WireMock, Selenium, and REST Assured, achieving 98% test coverage and minimizing production defects.

• Actively contributed in Agile/Scrum ceremonies using Jira and Confluence, collaborating with cross-functional teams for sprint planning, backlog prioritization, and delivery tracking. Dermanuture Bristol, PA

Full Stack Java Developer Jan 2025 – July 2025

• Built secure, HIPAA-compliant applications by implementing data encryption, role-based access, and secure authentication mechanisms.

• Developed Spring Boot microservices to handle patient and claims data, reducing claim processing time by 25%.

• Integrated HL7 and FHIR APIs with healthcare systems, ensuring seamless interoperability with EHR/EMR platforms.

• Designed and optimized database schemas in Oracle and MySQL, improving healthcare data storage and retrieval efficiency by 20%.

• Implemented Apache Kafka for real-time data streaming between clinical applications, ensuring high throughput and reliable communication.

• Deployed healthcare applications on Azure App Services and stored large clinical records in Azure Blob Storage, ensuring scalability and compliance.

• Created responsive, cross-browser compatible UIs with Angular 11, JavaScript, and Bootstrap, improving patient/provider experience.

• Automated CI/CD pipelines with Maven, Jenkins, and Nexus, reducing deployment errors and accelerating release cycles.

• Monitored system performance using Splunk, ELK Stack, and Azure Monitor, proactively resolving 90% of incidents before escalation.

• Conducted unit, integration, and regression testing using JUnit, TestNG, Selenium, and Postman, ensuring 98% defect-free deployments.

• Collaborated closely with clinicians, QA engineers, and business analysts in Agile sprints, aligning technical solutions with business needs.

Cognizant Chennai, India

Software Developer July 2020 – July 2023

• Assisted in the development of Java-based enterprise applications using Spring Boot and Hibernate, contributing to faster delivery timelines.

• Created RESTful services with Spring MVC, enabling efficient and secure client-server communication.

• Supported front-end development with HTML5, CSS3, JavaScript, and Bootstrap, improving UI consistency across application modules.

• Designed and optimized database queries in SQL Server and MySQL, improving backend data retrieval efficiency by 15%.

• Participated in peer code reviews, applying best practices that reduced bug density by 10%.

• Assisted in cloud migration projects using AWS S3 and AWS RDS, improving application reliability and scalability.

• Utilized Git and Bitbucket for version control, enabling seamless collaboration across distributed teams.

• Collaborated in Agile ceremonies including sprint planning, stand-ups, and retrospectives, contributing valuable feedback.

• Debugged and resolved production issues using Postman and Swagger, reducing incident resolution time by 20%.

• Contributed to test automation with JUnit, Mockito, and Selenium WebDriver, increasing test execution efficiency. Projects

GamePal – Multiplayer Game Recommendation Assistant Tech Stack: Node.js, Express.js, JavaScript, HTML, OAuth, REST API, MongoDB

• Built a backend engine integrating Steam and Discord APIs to deliver personalized multiplayer game recommendations based on user activity and owned libraries.

• Developed an intelligent Discord bot with OAuth2 authentication, enabling secure user verification, server data capture, and real-time game suggestions.

• Designed and implemented game-matching logic to analyze player libraries and preferences, storing results in MongoDB for faster, more accurate recommendations.

Length of Stay (LOS) Prediction System

Tech Stack: Python, Pandas, Scikit-learn, Logistic Regression, XGBoost, Gradio, Data Science Methodologies

• Led the development of a machine learning system to predict patient Length of Stay, engineering features from diverse clinical datasets (patients, encounters, medications, observations).

• Trained and evaluated models (Logistic Regression, XGBoost) to improve prediction accuracy, ensuring interpretability and robustness with thorough preprocessing and validation.

• Built a user-friendly Gradio interface that provided real-time LOS predictions, making the tool accessible and practical for healthcare professionals.

Education

Master of Science in Analytics

Saint Louis University August 2023 – May 2025 St Louis, USA Bachelor of Engineering in Computer Science and Engineering Lovely Professional University August 2017 – May 2021 Punjab, India

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