Stack Developer Financial Services

VANAJA SHALINI KATTUPALLI Java Full Stack Developer

IN 219-***-**** **.*********@*****.*** LinkedIn SUMMARY

Results-driven Java Full Stack Developer with 5+ years of experience architecting enterprise-grade applications in healthcare and financial services sectors, specializing in microservices architecture, FHIR interoperability, and high-performance trading systems. Proven expertise in Java Spring Boot, React, AWS cloud technologies, and real-time data processing using Apache Kafka and Redis, with demonstrated ability to scale systems serving 16+ million users and processing $500B+ daily trading volumes. Strong background in DevSecOps practices, HIPAA compliance, and regulatory reporting (HEDIS, MiFID II), achieving 95%+ test coverage and 99.5%+ system reliability through comprehensive CI/CD pipelines and automated testing frameworks. Experienced in cross-functional team collaboration, mentoring junior developers, and implementing accessibility standards (WCAG 2.1) while working with global teams across multiple time zones. Adept at performance optimization, database tuning, and security implementation (OAuth2, JWT) to deliver scalable solutions that improve operational efficiency by 20-45% and reduce processing times significantly. Successfully integrated complex EHR systems (Epic, Cerner), financial protocols (SWIFT, FIX), and AI/ML models (TensorFlow) to enable data-driven decision making and predictive analytics in mission-critical environments. SKILLS

Programming Languages: Java 17+, JavaScript (ES6+), TypeScript, SQL, HTML5, CSS3 Backend Development &

Frameworks:

Spring Boot 3.x, Spring Framework (Core, MVC, Data, Security), Spring Integration, Hibernate ORM, Quarkus, Node.js, Express.js, Vert.x

Frontend Development: React 18+, Redux, Material-UI, Responsive Design, Mobile-First Development, WCAG 2.1 Accessibility

Database & Data Management: PostgreSQL, MySQL, MongoDB, Oracle Database, SQL Server, Data Modeling, Query Optimization, Connection Pooling (HikariCP), Apache Kafka, Redis Caching, ETL Pipelines, Real-Time Processing, Project Loom, Non-blocking I/O

API Development &

Microservices:

RESTful APIs, GraphQL APIs, Microservices Architecture, Event-Driven Architecture, OpenAPI/Swagger Documentation

Cloud, DevOps &

Infrastructure:

Amazon Web Services (AWS), AWS EKS, Docker, Kubernetes, Helm Charts, Container Orchestration, Jenkins, GitHub Actions, Git Version Control, CI/CD Pipelines, Infrastructure as Code

Security & Testing: OAuth2, JWT, Spring Security, HIPAA Compliance, API Security, XSS/CSRF Prevention, JUnit 5, Mockito, Test-Driven Development (TDD), Integration Testing, SonarQube, Code Coverage Analysis

Healthcare & AI Technologies: FHIR R4 APIs, SMART on FHIR, HL7 Standards, EHR Integration (Epic, Cerner, AllScripts), TensorFlow, Predictive Analytics, Clinical Decision Support, Data Science Integration Performance Optimization &

Methodologies:

JVM Tuning, Query Optimization, Caching Strategies, Database Partitioning, Performance Testing, Agile/Scrum, Code Reviews, Refactoring, Technical Documentation, Cross-functional Collaboration

WORK EXPERIENCE

Java Full Stack Developer Elevance Health, IN Jul 2024 – Current

• Architected enterprise-grade microservices ecosystem using Spring Boot 3.2 and React 18 to enable real-time FHIR R4 patient data interoperability across multiple health plan systems, resulting in 35% improvement in care coordination efficiency and serving 16+ million active members through the Sydney Health platform.

• Developed comprehensive FHIR R4 APIs and SMART on FHIR integration modules using Java Spring Security and OAuth2/JWT authentication, enabling seamless clinical data exchange with Epic, Cerner, and AllScripts EHR systems while maintaining HIPAA compliance and reducing manual data entry by 60%.

• Engineered high-performance Apache Kafka event-driven messaging system integrated with Redis caching layer and Project Loom virtual threads for real-time claims processing, achieving 40% performance improvement in concurrent request handling and processing 40+ million claims monthly with sub-second response times.

• Implemented comprehensive DevSecOps CI/CD pipeline using Jenkins, Docker, and Kubernetes on AWS EKS, incorporating SonarQube code quality gates, Snyk security scanning, and automated JUnit/Mockito testing achieving 95%+ test coverage and reducing deployment time from 4 hours to 15 minutes.

• Developed responsive React-based user interface components with TypeScript and Material-UI, implementing accessibility (WCAG 2.1 AA) standards and mobile-first design patterns, improving user engagement metrics by 25% and achieving 4.8/5 user satisfaction score across web and mobile platforms.

• Orchestrated advanced data analytics pipeline using GraphQL APIs, PostgreSQL with JSON queries, and TensorFlow machine learning models to generate predictive insights for clinical decision support, identifying high-risk patients 30 days earlier and improving care gap closure rates by 22%.

• Optimized database performance through advanced SQL query optimization, connection pooling with HikariCP, and database partitioning strategies, achieving 60% reduction in query execution times and enabling the system to scale from 50,000 to 200,000 concurrent users during peak enrollment periods.

• Collaborated in Agile Scrum methodology with cross-functional teams including product managers, UX designers, and compliance officers, participating in daily standups, sprint planning, and code reviews, while mentoring 3 junior developers and contributing to technical documentation and knowledge sharing sessions.

• Built cloud-native Quarkus-based microservices with Spring Integration for real-time provider network management, implementing event-driven integration patterns and enterprise service bus (ESB) architecture to synchronize provider credentialing data across 50+ state health plan systems, reducing provider onboarding time by 45% and ensuring 99.8% data consistency across distributed environments.

• Designed comprehensive data modeling architecture using Hibernate ORM and Node.js Express APIs for member health analytics warehouse, implementing ETL pipelines with MySQL clustered databases and dimensional modeling techniques, enabling advanced reporting capabilities that support clinical quality measures (CQM) and Healthcare Effectiveness Data and Information Set (HEDIS) reporting for regulatory compliance across 22 state markets Java Full Stack Developer / Systems Engineer Goldman Sachs, India Jan 2019 – Jul 2022

• Architected high-performance Spring Boot RESTful microservices for trade execution and portfolio valuation systems to eliminate data retrieval bottlenecks in investment banking workflows, achieving 20% faster processing speeds and enabling real-time pricing for $500B+ daily trading volume.

• Transformed legacy React monoliths into modular component architectures using hooks, functional components, and route-based code splitting to improve developer velocity and user experience across client onboarding portals, reducing bundle size by 35% and page load times by 40%.

• Orchestrated Redux state management patterns with normalized data structures and middleware for complex trading blotters to ensure data integrity across multi-screen trader workflows, improving application scalability and reducing state-related bugs.

• Secured client-facing JavaScript applications through comprehensive input sanitization, CSRF tokens, and XSS prevention mechanisms to protect sensitive financial data in wealth management platforms, achieving zero security incidents during annual penetration testing.

• Engineered sophisticated MongoDB aggregation pipelines for risk analytics and regulatory reporting to support MiFID II and Volcker Rule compliance requirements, enabling real-time risk calculations and reducing regulatory reporting time by 50%.

• Instrumented Express.js applications with structured logging (Winston) and circuit breaker patterns to enhance observability in high-frequency trading infrastructure, improving system reliability by 99.5% and reducing mean time to resolution by 45%.

• Collaborated with QA engineers to implement comprehensive JUnit and Mockito test suites for algorithmic trading systems to minimize production defects in mission-critical applications, achieving 85% code coverage and reducing trading system bugs.

• Integrated external market data providers (Bloomberg Terminal, Refinitiv) and clearing systems using Node.js adapters to streamline trade settlement workflows, enabling automated straight-through processing for 80% of equity transactions.

• Modernized monolithic risk management applications into containerized microservices using Docker and Kubernetes to improve system resilience during market volatility, reducing deployment downtime by 70% and enabling zero-downtime updates.

• Automated third-party financial service integrations (SWIFT networks, FIX protocols) using Spring Integration to accelerate transaction processing for institutional clients, reducing trade settlement time by 30% and improving client satisfaction scores.

• Optimized Hibernate ORM mappings and SQL query performance for portfolio analytics databases to support real-time P&L calculations, improving query response times by 40% and enabling sub-second portfolio revaluation for asset management teams.

• Streamlined Git workflows across global development teams (NY, London, Bangalore) using feature branching and automated conflict resolution to maintain code quality, reducing merge conflicts by 50% and accelerating feature delivery by 20%.

• Accelerated Jenkins CI/CD pipelines with parallelized builds and automated deployment strategies to minimize production release risks in trading platforms, reducing build times by 35% and achieving 99.8% deployment success rate.

• Documented RESTful API specifications using Swagger/OpenAPI standards to facilitate cross-team integration and third-party vendor onboarding, reducing developer ramp-up time by 40% and enabling faster API adoption across 15+ internal applications. EDUCATION

Masters in Computer Science May 2024

Purdue University Northwest, IN

Bachelors in Engineering May 2019

Vignan’s Lara Institute of Technology and Science, India PROJECTS

AI for Inventory Optimization

• Engineered an AI-driven inventory optimizer using Python (Linear Regression, KNN, Naive Bayes) on NIPSCO’s real-time dataset

(100k+ records, 50+ features); built preprocessing to handle missing values/outliers; enabled trend forecasting and demand planning.

• Analyzed and redesigned Beulah Works’ event platform via UX/UI assessment and performance tuning; implemented data-driven changes that lifted user engagement by 20% and event registrations by 15%.

• Automated QA with Selenium WebDriver in Java using a modular architecture; created/executed 100+ integrated test cases (95% coverage), detecting and documenting 200+ bugs while validating cross-page, end-to-end flows. Flight Reservation Web Application

• Designed and implemented a responsive, accessible flight booking UI with guided flows to streamline search, selection, and checkout, improving task completion and reducing user error.

• Developed full-stack features using HTML/CSS for the front end and PHP for the backend, integrating with MySQL to handle user accounts, flight search, reservations, and payment workflows.

• Built secure CRUD operations and server-side validation in PHP with prepared statements to prevent SQL injection, ensuring reliable data persistence and consistent booking integrity.

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