Zaw Lin Htay

Planned and enhanced backend services using Python (FastAPI, Django), delivering scalable REST APIs to support analytics, reporting, and user-facing applications. Built and maintained cloud-native backend systems on AWS and Azure (serverless components, ECS/AKS). Implemented schema-first REST and GraphQL services for flexible client integration while maintaining backward compatibility. Maintained data pipelines and ETL workflows (AWS Glue, AWS Data Factory) for analytics use cases. Optimized queries, caching, and asynchronous processing to achieve near real-time performance for tens of thousands of users. Enforced security with OAuth2/JWT across microservice boundaries. Built observability across services with CloudWatch, Prometheus, Grafana, and centralized logging; collaborated closely with frontend, product, and data teams. Led CI/CD automation with Jenkins, GitHub Actions, Azure DevOps; contributed to architecture and best practices across frontend and backend teams.

Expanded and preserved backend services and REST APIs using Python (FastAPI, Django, Flask) to support data-heavy enterprise, e-commerce, and media applications. Built lightweight REST APIs, replaced legacy services, improved data access efficiency, and reduced response times for web and internal apps. Implemented cloud-native infrastructure with Kubernetes, AWS ECS, and containerized deployments; leveraged AWS Lambda; set up monitoring with CloudWatch, New Relic, and Nagios. Designed and implemented CI/CD pipelines with Jenkins and Azure DevOps to automate testing and deployments, improving reliability and velocity. Integrated AI/ML into production backends; collaborated with frontend teams to ensure smooth API integration and reliable data flows. Conducted unit and integration testing; participated in Agile teams; mentored junior developers.