user1504576

Led the design and implementation of a cloud-native energy reporting platform, integrating AWS services to support real-time data processing for industrial applications. Engineered microservices using Node.js and GraphQL to improve data retrieval times by 50%. Optimized system performance, reduced operational costs by 30% through efficient cloud resource management using AWS CloudFormation. Developed serverless solutions with AWS Lambda for on-demand auto-scaling, improving cost efficiency and response times. Built Redshift data pipeline for scalable processing and retrieval, reducing manual data handling by over 100 hours per week.

Developed a highly scalable e-commerce platform using Node.js, GraphQL, and AWS to handle high-traffic scenarios and integrate complex business workflows. Led the development of RESTful APIs and GraphQL-based services for fast data communication. Implemented AWS Lambda, SQS, and CloudWatch for auto-scaling and performance monitoring, supporting 10,000+ requests per second. Optimized database architecture for high availability, reducing data retrieval time by 25%. Managed deployment with Docker and Kubernetes to ensure smooth scaling.

Developed a high-performance dating platform, optimizing real-time interactions and enhancing user experience through scalable backend services. Built backend services with Node.js, Express.js, and MongoDB, supporting over 10,000 daily active users. Integrated AWS Lambda and API Gateway to manage sudden traffic spikes, maintaining reliability during peak usage. Optimized database queries and implemented caching strategies to reduce latency by 25%. Containerized services with Docker and maintained code versioning with Git, ensuring efficient development processes.