Chetan Reddy Gajjala

Planned and deployed AWS microservices using Node.js and TypeScript, boosting throughput by 32% and reducing latency across telemetry pipelines. Implemented REST and GraphQL APIs with PostgreSQL and Redis, reducing query times by 35% for real-time analytics. Automated build, test, and release pipelines with Jenkins and Terraform, cutting deployment time from 6 hours to under 45 minutes with zero rollback incidents. Built Python-based telemetry exporters for Datadog APM, expanding monitoring coverage by 45% and shortening incident resolution by 40%. Optimized data ingestion and caching to raise log throughput from 3M to 5.5M events/hour under heavy load. Strengthened security via IAM roles, input sanitization, and CSP policies, reducing vulnerability exposure by 30% and achieving audit compliance. Developed React.js real-time monitoring dashboard integrating with Datadog APIs, improving incident visualization by 40% and reducing alert triage time. Enhanced front-end performance with laz

Constructed cloud-native microservices processing over 100,000 metrics per second, reducing system latency by 25% while enhancing real-time monitoring and alerting capabilities for global clients. Developed and maintained REST and gRPC APIs, improving data retrieval efficiency by 30% for internal dashboards and external integrations, ensuring high availability across distributed environments. Systematized containerized deployments using Docker and Kubernetes, integrating GitHub Actions and ArgoCD pipelines to reduce production rollout time from 2 hours to 45 minutes. Optimized database queries in PostgreSQL and MongoDB, decreasing response times for analytics dashboards by 30% while supporting scalable data ingestion workflows. Executed robust unit, integration, and performance tests, increasing test coverage to 90% and reducing post-release incidents by 40% in production systems. Collaborated with cross-functional teams to design fault-tolerant architecture, improving system uptime by

Developed large-scale enterprise modules using Java, Spring, and Angular, improving response time by 40% and supporting 10K+ concurrent users across regions. Built and optimized Angular front-end components with RxJS and NgRx, reducing DOM re-rendering time by 45% and enhancing dashboard interactivity. Created normalized MySQL schemas and optimized MongoDB indexes, improving query efficiency by 50% and reducing backend CPU usage by 22%. Refactored legacy applications into Dockerized microservices on AWS ECS, reducing infra costs by 28% and increasing scalability under peak workloads. Implemented Jest and PyTest in CI pipelines, achieving 92% test coverage and cutting QA verification time by 35%. Delivered secure REST APIs with JWT authentication and HTTPS encryption, ensuring audit compliance and zero critical vulnerabilities. Reduced code complexity by 25% via SOLID-based refactoring and linting automation. Collaborated with UI/UX teams for responsive layouts and WCAG 2.1 accessibilit