Principal Cloud Application Engineer

Designed cloud integration services and event-driven APIs on AWS for enterprise policy and claims workflows, processing 2M+ monthly transactions and reducing integration defects by 40%. Built and governed Kafka and RabbitMQ messaging patterns for secure data exchange across distributed systems, cutting manual reprocessing and duplicate events by 30%. Created Jenkins and GitHub Actions pipelines with automated testing, gated approvals, and release controls, shortening deployment cycles from days to hours. Defined API governance, OpenAPI standards, and reusable integration frameworks for 12 engineers, raising contract consistency across service teams. Integrated AI-enabled document triage into a claims application with Python services and AWS Lambda, reducing queue review time by 50%. Implemented monitoring in Amazon CloudWatch and Splunk for production readiness, dropping incident response time from 45 minutes to 15 minutes. Partnered with architects, analysts, and platform owners to translate business rules into scalable integration designs and post-production support runbooks. Managed Oracle and PostgreSQL data transformations for downstream billing and reporting feeds, improving interface reliability and reconciliation accuracy.

Built cloud application integrations for quote and pricing workflows using AWS, REST APIs, and Python services, supporting daily data exchange across sales and operations systems. Delivered CI/CD automation in Jenkins and GitLab CI/CD with Docker-based test environments, cutting release validation from 2 days to 4 hours. Designed Kafka-backed messaging for asynchronous processing and resilient retries, improving quote event throughput and reducing failed handoffs by 35%. Created reusable integration patterns and API test suites in Postman and JUnit, giving engineering and QA a consistent release checklist. Modeled MySQL and MongoDB transformations for product and reporting pipelines, improving data quality and downstream feed accuracy. Coordinated with product analysts and architects to convert changing business rules into deployable services and stable orchestration workflows.

Developed service-oriented application integrations in Java and Spring Boot, connecting internal systems through REST and SOAP endpoints. Implemented RabbitMQ and Amazon SQS messaging flows to decouple batch jobs and improve reliability across distributed workloads. Built automated deployments with Jenkins, Maven, and Docker, reducing manual release steps and lowering rollback risk. Wrote SQL transformations and Oracle stored procedures for enterprise data exchange, improving reconciliation speed for finance operations. Supported testing and production troubleshooting with JUnit, Postman, and Splunk, helping stabilize integrations after release.

Built web application features in JavaScript, Node.js, and React, exposing REST endpoints and backend data flows for internal users. Created SQL reporting queries and MySQL-backed integrations to move operational data between product modules and analytics views. Automated build and release tasks with Git, GitHub Actions, and Docker, improving release repeatability for the development team. Fixed integration defects and production issues through log analysis and testing in Postman and JUnit, improving application stability.