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DINESH VUPPALAPATI Java Full Stack Developer

DE +1-302-***-**** ************@*****.*** LinkedIn

SUMMARY

Java Full Stack Developer with 4+ years of experience building cloud-native, scalable applications in healthcare and financial domains. Skilled in Java 17/21, Spring Boot, Spring WebFlux, GraphQL, REST APIs, PostgreSQL, and Hibernate ORM for secure, high-performance backend systems. Experienced in React.js, Redux, Tailwind, and ECharts for interactive dashboards and real-time insights. Proficient in CI/CD, Docker, Kubernetes, and AWS (ECS, Lambda, API Gateway, CloudFormation, S3) for automated deployments and high-availability services. Expertise in Kafka, Flink, Spark for real-time data processing, predictive analytics, and compliance reporting. Knowledgeable in HIPAA, FHIR, PCI-DSS, and GDPR compliance.

EDUCATION

Masters in Information System Technologies & Assurance Wilmington University, DE May 2025

Bachelors in Electronics and Communication Engineering Sri Venkateswara College of Engineering, India Dec 2020

EXPERIENCE

DaVita, DE - USA June 2025 – Current

Java Full Stack Developer

Collaborate with clinicians, compliance officers, and business analysts to translate dialysis workflows into HIPAA/FHIR-compliant applications, ensuring secure, traceable, and audit-ready patient data.

Break down complex regulatory requirements into actionable user stories with acceptance criteria, improving sprint delivery predictability and cross-functional collaboration.

Design and implement microservices using Java 17, Spring Boot, WebFlux, integrating REST/GraphQL APIs and PostgreSQL, reducing patient scheduling conflicts by 28%.

Develop responsive React.js interfaces with Redux and Tailwind, including interactive dashboards, enhancing clinician task efficiency and reducing task completion time by 32%.

Stream real-time dialysis telemetry via Apache Kafka and Flink to compute adherence KPIs and trigger alerts, enabling early interventions and improving patient session attendance.

Build and maintain CI/CD pipelines and automated deployments using GitHub Actions, SonarQube, Docker, AWS ECS, Lambda, and CloudFormation, ensuring blue/green releases, minimal downtime, and operational cost savings.

Optimize system performance and reliability by tuning backpressure, indexing PostgreSQL, and scaling Kafka partitions, achieving 99.97% system availability while maintaining HIPAA compliance.

DaVita, DE - USA Feb 2025 – May 2025

Java Full Stack Developer Intern

Collaborated with senior developers and business analysts to document clinic workflows and map intake-to-discharge data elements into HIPAA/FHIR-compliant resources, improving requirement clarity and reducing review delays.

Developed prototype Spring Boot REST APIs and GraphQL services, integrating with PostgreSQL test schemas to accelerate API contract approvals by two sprints.

Built responsive React.js components with Redux and Tailwind for clinician worklists and session checklists, improving usability and reducing task switching during pilot tests.

Assisted in CI/CD pipeline setup with GitHub Actions, SonarQube, JUnit5/Mockito, and Cypress, enhancing build reliability and shortening pull request review cycles.

Containerized intern-developed services using Docker and deployed to AWS ECS via CloudFormation, enabling repeatable sandbox environments and reducing QA setup time from two days to a few hours.

CitiusTech, India May 2022 – Jul 2023

Java Full Stack Developer

Designed modular clinical workflows with Java 21 and SOLID principles, enabling reusable components for SaMD features and accelerating FDA-compliant module development.

Built dynamic React.js dashboards with ECharts, MongoDB, and Express.js to visualize patient vitals and device diagnostics in real time, enhancing remote care decision-making and reducing clinician response time by 30%.

Automated microservice deployment and backend data ingestion using AWS ECS, Lambda, CloudFormation, S3, and Step Functions, improving scalability, reducing environment provisioning time, and enabling near real-time processing for proactive care alerts.

Processed patient telemetry streams via Apache Flink and Kafka to support predictive analytics and early alerting for chronic conditions, improving remote monitoring outcomes.

Integrated device-generated health data with relational databases using Hibernate ORM and JPA, ensuring accurate persistence and faster retrieval of patient history.

Developed CI/CD pipelines with Jenkins, GitHub Actions, and SonarQube to automate build, test, and deployment for connected health services, improving release efficiency while maintaining compliance traceability.

Containerized full-stack applications with Docker and managed deployments through Kubernetes, ensuring high availability for real-time monitoring platforms across hospital networks.

Engineered secure APIs with Spring WebFlux, Spring Boot, GraphQL, and OpenAPI, deployed via AWS API Gateway and Lambda, supporting encrypted device-to-cloud data flow while maintaining HIPAA and FHIR compliance.

Collaborated with DevOps and QA teams to implement health checks, rolling updates, and monitoring via Prometheus and Grafana, improving deployment stability and reducing incident recovery time by 50%.

MPhasis, India Jun 2020 – May 2022

Full Stack Developer

Developed scalable microservices with Java 17, Spring Boot, and Kafka to automate regulatory data flows for AML reporting, reducing manual intervention and improving data accuracy.

Modernized compliance dashboards by designing responsive React.js and Redux interfaces with Tailwind CSS, empowering risk analysts to visualize exposure trends in real-time.

Integrated secure APIs with Spring Security, OAuth2, and JWT, enabling role-based access for customer risk profiling while maintaining GDPR and PCI-DSS compliance.

Refactored legacy monolithic systems into cloud-native, containerized services using Docker, Kubernetes, and AWS ECS, improving system availability to 99.95% and supporting high-volume financial transaction monitoring.

Implemented automated testing with JUnit 5, Mockito, and Cypress, enhancing reliability of fraud detection modules and decreasing post-deployment defects.

Designed and deployed serverless workflows with AWS Lambda, API Gateway, and DynamoDB to process large compliance data feeds, reducing infrastructure costs and enabling near real-time risk scoring.

Built real-time risk scoring pipelines using Kafka, Spark, and REST APIs with PostgreSQL for secure data storage and audit logging, cutting detection latency by 50%.

Monitored performance and logs via ELK Stack to proactively detect anomalies in risk engines, improving SLA adherence for regulatory reporting.

Collaborated with cross-functional teams to implement CI/CD pipelines using Jenkins and GitHub Actions, accelerating deployment of compliance software updates and integrating new risk rules efficiently.

TECHNICAL SKILLS

Languages & Frontend Development:

Java 17/21, HTML, CSS, JavaScript, TypeScript, SQL, Node.js, React.js, Redux, Tailwind CSS, ECharts

Backend & APIs:

Spring Boot, Spring WebFlux, Spring Security, GraphQL, Express.js, RESTful APIs, OpenAPI, OAuth2, JWT, Hibernate ORM, JPA

Cloud:

AWS ECS, Lambda, API Gateway, S3, CloudFormation, Step Functions

DevOps:

Docker, Kubernetes, Jenkins, GitHub Actions, SonarQube, CI/CD, Blue/Green Deployments

Data & Streaming:

PostgreSQL, MongoDB, DynamoDB, Apache Kafka, Apache Flink, Apache Spark, Data Modeling, Query Optimization

Testing & Monitoring:

JUnit 5, Mockito, Cypress, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)

Security &Compliance:

HIPAA, FHIR, PCI-DSS, GDPR

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