Software Engineer at Premier Inc

• Architected a high-performance, microservices-based financial platform (Java, Spring Boot, Python, gRPC), handling over 10 million transactions monthly and exposing robust REST APIs. • Spearheaded cloud migration, delivering 15+ REST microservices, reducing infrastructure costs by 25% and boosting data processing efficiency by 30% using AWS and Apache Kafka. • Orchestrated RabbitMQ for asynchronous inter-service communication, processing over 50,000 messages per second to increase throughput and reliability by 40%. • Designed and deployed authorization and authentication with Spring Security and OAuth2, securing access for over 100,000 users. • Authored an LLM-powered chatbot in Python, reducing customer support inquiries by 15% and elevating user engagement by 20%. • Optimized AWS infrastructure by provisioning 50+ TB on S3, configuring 10+ RDS instances, and developing 30+ serverless Lambda functions, reducing manual setup time by 50% via CloudFormation. • Hardened S3 configurations for protected PHI storage and HIPAA compliance, achieving 100% audit compliance. • Established SQS queues for event-driven processing of billing and notification workflows, cutting processing time by 35%. • Applied Java Concurrency APIs to construct multithreaded components, reducing latency by 20% and elevating responsiveness by 25%. • Crafted custom Angular directives, services, and components, raising UI performance by 15%; standardized patterns and applied Core Java constructs. • Engineered CI/CD pipelines with GitHub Actions, reducing deployment failures by 10% and deployment time by 22%; deployed containerized services with Docker and Kubernetes, achieving 99.9% uptime. • Elevated production support efficiency by establishing a structured incident management system, leading to a 40% reduction in resolution times and enhanced user satisfaction scores by 10%. • Led a 6-engineer team delivering real-time data exchange features, increasing data throughput by 50%; coordinated scope, code reviews, and releases. • Translated business needs into technical designs; simplified account creation to lower onboarding friction by 15%. • Conducted root cause analyses with Splunk and Jira to eliminate recurring issues, reducing repeat incidents by 60%. • Shipped a SaaS platform (React + Django) for real estate operations, supporting over 5,000 active users. • Tuned SQL performance with indexing, query rewrites, and table partitioning, reducing query execution time by an average of 30%. • Provisioned AWS with Terraform modules; standardized multi-environment deployments and versioned state to improve recovery time by 20%.