Sivaprakash V

Built transaction processing systems using Go, gRPC, and MongoDB to support high-volume operations. Deployed services on AWS ECS with Kubernetes for elastic and reliable scaling. Used Datadog for monitoring, alerting, and issue detection. Optimized GraphQL queries to improve client data access efficiency and developed Go-based microservices for e-commerce order processing using PostgreSQL and DynamoDB. Containerized services with Docker and automated CI/CD pipelines for consistent releases. Used Temporal to manage deterministic order-handling workflows. Improved database performance through indexing and caching strategies.

Developed Go-based microservices for an e-commerce platform supporting high user traffic. Implemented automated deployments with Docker and Kubernetes integrated with CI/CD pipelines. Managed PostgreSQL and DynamoDB databases for order processing, and built REST and GraphQL APIs for smooth front-end integration. Monitored and maintained system reliability using Datadog, guided junior engineers on Go and microservices design, and contributed to agile delivery practices with the product and front-end teams.

Created Go-based APIs for a payment system using MongoDB for data storage. Deployed services on AWS EC2 and S3 to keep operations cost-effective. Implemented gRPC for efficient service-to-service communication. Helped migrate a monolithic system to microservices to improve scalability. Wrote unit and integration tests to ensure code reliability and collaborated with product and front-end teams in agile workflows.