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Manisha Medasani

Java Full Stack Developer • Frisco, TX • m*****************@gmail.com • +15******451 • drivetube.ai/•••••

Professional Summary

Java Full Stack Developer with 5+ years of experience designing and delivering cloud-native, microservices-based enterprise applications using Java (8/11/17/21) and Spring Boot. Experienced building secure RESTful, GraphQL, and SOAP APIs and implementing OAuth2/JWT-based authentication for financial, healthcare, and e-commerce domains. Skilled in event-driven architectures using Apache Kafka and serverless messaging on AWS (Lambda, S3, SNS/SQS) to enable asynchronous processing and reliable data exchange. Proficient in containerization and orchestration with Docker and Kubernetes (EKS), and in implementing CI/CD pipelines with Jenkins and GitHub Actions for repeatable releases. Strong front-end experience with React.js and TypeScript to deliver responsive UIs. Hands-on with observability using OpenTelemetry, Prometheus and Grafana, and experienced applying TDD, integration testing, and Testcontainers for production-grade quality. Integrated LLM/Generative AI capabilities into automation workflows to improve efficiency.

Technical Skills

Programming Language: Java
Frontend Technologies: React,Next.js,Redux,Material UI,Tailwind CSS,HTML5,CSS3
Backend Technologies: Spring Boot,Spring Security,Spring Cloud
Databases: PostgreSQL
Cloud Platforms: Amazon Web Services,EKS,Lambda,S3
Version Control & Development Tools: Maven,Gradle
DevOps & Infrastructure: Docker,Kubernetes,Jenkins
Testing & QA: JUnit,Mockito,Testcontainers,Test-Driven Development
API & Integrations: Postman,1:1s
Messaging & Monitoring: Apache Kafka,OpenTelemetry,Prometheus,CloudWatch,Splunk
Architecture & Design Patterns: Microservices
Identity & Access Management (IAM): JWT

Work Experience

Wells Fargo
Senior Java Full Stack Developer
Feb 2023 – Present
Worked on cloud-native banking and enterprise platforms, building microservices and APIs to support internal and customer-facing banking workflows.
Tech Stack: Spring Boot, Spring Cloud, Spring Security, JWT, GraphQL, S3, Apache Kafka, Docker, Kubernetes, EKS, OpenTelemetry, Prometheus
  • Architected microservices using Spring Boot and Spring Cloud to modularize banking capabilities and enable independent service deployments.
  • Implemented OAuth2 and JWT-based authentication flows with Spring Security to secure REST and GraphQL APIs for enterprise access control.
  • Built serverless file-processing pipelines on AWS using Lambda and S3 to ingest and normalize incoming data for downstream services.
  • Built Kafka producers and consumers to enable low-latency event streaming for transactional and audit events across services.
  • Introduced Resilience4j patterns via Spring Cloud Gateway to add circuit breakers and retries to prevent cascading failures.
  • Deployed and scaled containerized microservices on EKS using Docker and Kubernetes to achieve automated rollouts and self-healing.
  • Instrumented distributed tracing and metrics collection with OpenTelemetry and Prometheus to improve incident diagnosis and SLA monitoring.
eBay
Cleveland, OH
Software Engineer
Nov 2021 – Dec 2022
Developed HIPAA-aligned healthcare integrations and cloud-native services enabling standardized clinical data exchange and secure patient APIs.
Tech Stack: Java 11, Spring Boot, Spring Security, FHIR, HL7, PostgreSQL, Docker, EKS, AWS CloudWatch, Splunk
  • Designed HIPAA-compliant microservices using Java 11 and Spring Boot to process clinical data and maintain strict data protection controls.
  • Implemented RBAC and token-based authorization patterns with Spring Security to enforce fine-grained access to patient records.
  • Integrated FHIR and HL7 interfaces to enable standardized clinical data exchange with internal systems and external providers.
  • Deployed containerized services to AWS EKS using Docker to enable rolling upgrades and automated scaling for healthcare workloads.
  • Optimized relational schema and queries using PostgreSQL to improve consistency and reliability of patient record operations.
  • Configured centralized logging and monitoring with AWS CloudWatch and Splunk to support auditability and incident response for sensitive data.
Amazon
Hyderabad, India
Java Developer
Aug 2019 – Jun 2021
Built high-throughput financial and analytics microservices for real-time data processing and trading/reporting systems.
Tech Stack: Spring Boot, Apache Kafka, Redis, Elasticsearch, Docker, Kubernetes, Jenkins, Git
  • Designed and implemented high-performance Spring Boot microservices to handle real-time financial data processing.
  • Built Apache Kafka streaming producers and consumers to deliver ordered market feed processing and inter-service events.
  • Implemented Redis-based caching strategies to reduce database load and accelerate response times for hot data.
  • Engineered Elasticsearch indexing and search pipelines to enable fast analytics and retrieval over large financial datasets.
  • Containerized services with Docker and orchestrated deployments using Kubernetes to improve deployment consistency.
  • Automated CI/CD pipelines with Jenkins and Git to streamline builds, tests, and deployments across environments.

Achievements

  • Enterprise microservices delivery across domains: Contributed to the design and delivery of large-scale microservices applications across banking, healthcare, and e-commerce domains, improving availability and production resilience.
  • Performance improvements via caching and events: Improved API response times and system throughput by implementing Redis caching and event-driven architectures using Apache Kafka.
  • Real-time streaming implementations: Played a key role in building real-time streaming and event-driven systems to enable low-latency processing of financial and healthcare data.
  • Enterprise security implementations: Delivered secure APIs and services by implementing Spring Security, OAuth 2.0, JWT, and RBAC patterns aligned with banking and healthcare standards.
  • Cloud-native deployments: Enabled scalable, fault-tolerant deployments on AWS using Docker and Kubernetes with automated CI/CD to support zero-downtime releases.
  • Observability and testing advocacy: Enhanced observability with Splunk, Prometheus, and Grafana and improved code quality through TDD, unit and integration testing using JUnit and Testcontainers.

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