Java Full Stack Architect with Finance-grade Focus

Chaitanya Kanagala

Java Full Stack Developer

508-***-**** *********.****@*****.*** LinkedIn USA SUMMARY

Experienced Java Full Stack Developer with 4+ years of experience architecting secure, scalable, and finance-grade applications by integrating microservices, event-driven processing, real-time data pipelines, and full-stack UI frameworks. Demonstrated ability to streamline lending, fraud, dispute, and risk workflows by leveraging Java, Spring Boot, WebFlux, Angular/React, Kafka, RabbitMQ, and cloud-native deployments while strengthening compliance and decision accuracy through credit-bureau APIs, AML engines, OCR modules, and exposure risk models. Adept at collaborating with cross-functional teams to optimize system reliability, enhance platform performance, and accelerate release cycles through CI/CD, automated testing, and containerized infrastructure. Proficient in building high-impact financial platforms that elevate customer experience, improve operational efficiency, and support data-driven business decisions. SKILLS

Programming Languages: Java (Java 17, Java 21), TypeScript, Python, JavaScript, SQL, Bash/Shell Backend Technologies: Spring Boot, Spring MVC, Spring WebFlux, Microservices Architecture, RESTful API Development, JPA/Hibernate, Reactive Programming, Spring Security, Spring Batch, Server-Side Caching, API Gateway Patterns Frontend Technologies: React, Angular, Redux Toolkit, HTML5, CSS3, Bootstrap, Tailwind CSS, Material UI Databases & Storage: PostgreSQL, MySQL, Oracle DB, MongoDB, Redis, AWS S3, Database Indexing, Query Optimization, Partitioning Strategies, Stored Procedures, Database Replication Messaging, Streaming & Integration: Apache Kafka, Kafka Streams, RabbitMQ, Apache Camel, FIX Protocol, ISO 8583 / ISO 20022 Message Feeds, Event-Driven Architecture, API Integrations DevOps, Cloud & CI/CD: AWS (EKS, RDS, S3), Docker, Kubernetes, Git, GitLab CI/CD, GitHub Actions, Jenkins, Nginx, SonarQube, Prometheus, Grafana, Terraform, Helm Charts, Container Orchestration, CI/CD Pipeline Automation Testing & Quality Engineering: JUnit, Mockito, API Contract Testing, Integration Testing, Unit Testing, TestNG, Postman/Newman, Performance Testing (JMeter), Code Quality Analysis, TDD/BDD Practices Finance Domain Tools & Specialized Skills: Bloomberg B-PIPE, Credit & Identity Verification APIs, AML Engines, OCR Processing, VaR/Exposure Models, Fraud & Transaction Risk Scoring. Software Development Methodologies: Agile (Scrum), Kanban, Sprint Planning, CI/CD-driven Development, Clean Code & SOLID Prin- ciples, Design Patterns, Code Review Practices

EXPERIENCE

Fifth Third Bank, USA Java Full Stack Developer Feb 2025– Present

• Engineered microservices for real-time trade ingestion using Java, Spring Boot, WebFlux, Kafka Streams, FIX, Bloomberg B-PIPE, VaR & exposure calculation models, and PostgreSQL to unify portfolio-risk updates and elevated intraday exposure accuracy by over 20% through continuous streaming of validated trade signals.

• Architected event-driven risk workflows with Redis, Docker, AWS S3, VaR models, margin-calculation engines, and reactive pipelines to consolidate multi-asset price movements and increased portfolio-update reliability by 30% through optimized risk-calculation orchestration.

• Developed responsive dashboards using React, TypeScript, Redux Toolkit, Tailwind, and real-time risk components to visualize VaR shifts,exposure fluctuations, and stress-test outcomes and enhanced analyst decision efficiency by 40% through unified live-risk interpretation.

• Implemented validation and compliance controls using JUnit, Mockito, Spring Security, OAuth2, and portfolio-limit engines to enforce regulatory rules across incoming trades and reduced compliance-review cycles by over 33% through automated rule-execution and exception detection.

• Deployed scalable risk services through Kubernetes on AWS EKS, GitHub Actions CI/CD, Prometheus, Grafana, and Dockerized mi croservices to stabilize high-volume trading operations and boosted production resilience by over 30% through proactive performance monitoring and auto-scaling strategies.

L&T Technology Services Ltd, India Software Engineer(Associate Engineer) Sep 2021 – Sep 2023

• Boosted sprint efficiency by 20% by developing an Agile Sprint Retrospective tool and building a structured feedback mechanism using React, Node.js, and MySQL, enabling data-driven sprint planning that improved team productivity.

• Cut deployment time by 40% after identifying bottlenecks in a monolithic healthcare adjudication system and leading its migration to a Spring Boot microservices architecture orchestrated through Docker and Kubernetes, resulting in faster and more reliable releases.

• Improved claim-processing efficiency by 30% by integrating Apache Kafka for real-time streaming across adjudication services, reducing system latency and increasing data-throughput accuracy for time-critical workflows.

• Reduced post-deployment defects by 30% by conducting end-to-end testing of user flows, implementing comprehensive JUnit and Mockito test suites, ensuring robust validation across claim submission, processing, and adjudication outcomes.

• Accelerated data retrieval by 75% by engineering optimized Spring REST APIs using MVC architecture with Kafka and Redis, enabling real-time communication in a high-volume healthcare environment and significantly improving user response times. Streebo Inc, India Software Developer Feb 2020 – Aug 2021

• Engineered end-to-end lending microservices using Java, Spring Boot, JPA, Experian credit APIs, and underwriting rule engines to unify onboarding workflows and strengthened loan-risk precision by over 20% through automated eligibility evaluation and document verification orchestration.

• Orchestrated dispute-handling pipelines using Spring Batch, RabbitMQ, ISO payment parsers, NPCI connectors, and Oracle models to centralize transaction assessments and improve chargeback resolution accuracy by 30%.

• Developed workflow-driven UI modules using Angular, TypeScript, Bootstrap, Azure services, MongoDB document storage, and OCR extraction tools to refine officer decision steps and elevate loan-processing efficiency by over 44% through streamlined document-intake and status-tracking interfaces.

• Validated risk and transaction workflows using JUnit suites, Mockito simulations, Spring Security role layers, Elasticsearch indexing, and credit-risk test assertions to enforce secure decisions and reduced review-cycle inconsistencies by over 25% through consistent rule enforcement and traceable audit behavior.

• Deployed modular banking services using Dockerized containers, GitLab pipelines, Nginx hosting, Apache Camel routing, and MySQL indexed schemas to stabilize lending and dispute operations and improved overall platform resilience by 30% through continuous monitoring of financial events and workflow health.

EDUCATION

Master of Science in Computer Science — Clark University, USA May 2025

Contact this candidate