Mid-level Full-Stack Java Developer specializing in FinTech and Healthcare platforms
Memphis, TNFull Stack Developer6 years experienceMid-LevelFinancial ServicesFinTechHealthcare
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About
Software engineer who built internal operations/monitoring dashboards for real-time trading and money-movement systems, emphasizing auditability and rapid iteration. Deep experience with microservices on Azure using Kafka/RabbitMQ, plus strong testing discipline (JUnit/Mockito/Testcontainers, contract/E2E) and observability patterns (correlation IDs, centralized logging, distributed tracing) to reduce incident triage time and improve resilience.
Experience
Full Stack DeveloperJPMorgan Chase
Full Stack DeveloperUnitedHealth Group
Education
University of Memphismaster, Information Systems (2023)
Malla Reddy Institute of Engineering and Technologybachelor, Electronics and Communication Engineering (2020)
Key Strengths
Delivers thin-slice incremental releases (MVP first) while maintaining compliance/auditability for money movement systems
Designs layered automated testing strategies (unit + integration with real dependencies + contract/E2E) to balance speed and quality
Strong microservices architecture experience with event-driven messaging (Kafka/RabbitMQ) and independent service scaling
Builds observability into distributed systems (centralized logging, correlation IDs, metrics, distributed tracing) to debug cross-service issues
Built and drove adoption of an ops monitoring dashboard that correlates alerts, metrics, logs, and traces to reduce incident triage time
Prioritizes effectively in ambiguous environments using user interviews, stakeholder alignment, and incident/operational data
Built end-to-end FX trading modernization (trade capture/booking + trader UI) at JPMorgan Chase
Low-latency, real-time event-driven systems using Kafka + Redis caching
Distributed-systems consistency patterns (idempotency, saga orchestration) for reliable booking workflows
Scalable production operations on Kubernetes with autoscaling driven by Prometheus custom metrics (latency, Kafka lag)
Performance-focused React engineering for high-frequency data UIs (lazy loading, code splitting, throttling, virtualization)
Strong testing strategy across unit/integration/contract tests using Testcontainers and CI/CD
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