Senior Software Engineer Java/Python/Microservices Cloud

SAI VANDANA THARIGOPULA

Software Engineer • Java • Python • JavaScript • Cloud • Microservices

******************@*****.*** • +1-203-***-**** • New York City, NY • STEM OPT – Authorized to Work in the U.S.

PROFESSIONAL SUMMARY

Software Engineer with 4+ years of experience designing, developing, testing, and maintaining high-quality, scalable software applications across finance and healthcare domains. Proficient in Java, Python, and JavaScript with deep expertise in microservices architecture, RESTful APIs, SQL/NoSQL databases, and cloud platforms (AWS, Azure). Proven track record of writing clean, efficient code, resolving complex technical issues, and collaborating with product managers, designers, and cross-functional engineering teams. Strong advocate for code reviews, performance optimization, and secure software development practices.

CORE COMPETENCIES

Languages:

Java, Python, JavaScript (ES6+), TypeScript, SQL, Bash, Scala

Frameworks:

Spring Boot, Spring MVC, React.js, Angular, Node.js, Flask, FastAPI, Django, REST, GraphQL

Databases:

PostgreSQL, MySQL, MongoDB, DynamoDB, Redis — SQL/NoSQL, query optimization, normalization

Cloud:

AWS (Lambda, EC2, S3, SageMaker, API Gateway), Azure (AKS, DevOps, Key Vault, Functions)

Microservices:

Docker, Kubernetes (EKS/AKS), Kafka, Spark, event-driven architecture, API design

DevOps / CI/CD:

Jenkins, GitHub Actions, Azure DevOps, Terraform, Git, GitHub, GitLab

Testing:

JUnit, PyTest, unit testing, integration testing, TDD, code reviews, automated validation

Methodologies:

Agile / Scrum, SDLC, OOP, clean code principles, pair programming, sprint planning

PROFESSIONAL EXPERIENCE

Elevance Health Software Engineer Aug 2025 – Present

•Designed and developed Spring Boot microservices integrated with Azure ML pipelines, supporting predictive diagnostic workflows processing 1M+ healthcare records daily — improving detection accuracy by 38%.

•Built and maintained scalable RESTful APIs enabling seamless interoperability across 10+ provider systems, ensuring application performance, security, and reliability.

•Developed responsive React.js dashboards for real-time anomaly tracking, reducing engineer investigation time by ~50% through intuitive, high-performance UI design.

•Troubleshot and resolved critical performance bottlenecks across API and caching layers, reducing response latency from 1,500ms to 700ms.

•Implemented CI/CD pipelines with automated testing and security validation via Azure DevOps, achieving zero-downtime deployments and cutting release cycles by 40%.

•Ensured application security through Azure Key Vault, RBAC, and encrypted data handling, meeting HIPAA and enterprise compliance requirements.

•Participated in code reviews, technical discussions, and Agile sprint ceremonies — consistently maintaining high code quality and development standards.

•Mentored 3 junior engineers and authored developer documentation recognized with an internal award.

Citi Bank Software Engineer – Full Stack Sep 2024 – Jul 2025

•Designed and deployed scalable Java Spring Boot microservices for real-time fraud detection, processing 5M+ daily transactions with high availability and sub-second response times.

•Developed REST and GraphQL APIs for risk-scoring engines, reducing third-party integration time by 45% and improving overall application responsiveness.

•Built serverless Java endpoints using AWS Lambda + API Gateway, achieving sub-100ms latency for high-frequency financial workloads.

•Wrote clean, efficient Python and Java code for Kafka + Spark streaming pipelines, enabling real-time event processing at scale.

•Debugged and upgraded legacy financial services, migrating them into Spring Boot microservices and reducing operational overhead by 30%.

•Ensured application performance, security, and responsiveness through IAM, RBAC, and Azure Key Vault integrations aligned with enterprise governance standards.

•Automated CI/CD pipelines using Jenkins and Azure DevOps with Git-based workflows, reducing manual release overhead by 60%.

•Optimized PostgreSQL, MongoDB, and DynamoDB query performance and data schemas to maintain high availability under peak transaction loads.

Cognizant Software Developer – Full Stack Feb 2021 – Jul 2023

•Designed, developed, and maintained Java and Python API services on AWS processing 2M+ records daily, boosting fraud detection precision to 91% through targeted service refactoring.

•Wrote scalable, maintainable code for React.js and AngularJS frontends integrated with Spring Boot backends for financial analytics platforms used by enterprise clients.

•Troubleshot and debugged legacy monolithic applications, re-architecting them into microservices using object-oriented design principles and reducing overhead by 30%.

•Developed serverless endpoints on AWS Lambda + API Gateway and Kafka + Spark streaming pipelines for high-volume real-time data processing.

•Managed Git repositories with disciplined branching, versioning, and code review practices across all team deliverables.

•Containerized and deployed workloads on EKS with Docker and Kubernetes, reducing AWS infrastructure costs by 18%.

•Collaborated closely with product managers, designers, and QA teams in Agile sprints, consistently delivering features on time within the full SDLC.

EDUCATION

M.S. in Computer Science & Information Technology – Data Science Sacred Heart University, Fairfield, CT

B.Tech in Computer Science & Engineering Annamacharya Institute of Technology and Sciences, India

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