- Work on the Data Platform Team.- Received a performance review rating of Significant Impact for the period January to December 2023.- Initialize, maintain, and improve a gRPC service using Go for a data pipeline runner used to backfill other team databases.- Contribute and maintain Data Center services handling thousands of RPS from upstream services.- Optimize external call services using asynchronous call, tracing, caching, singleflight, and monitoring.- Improve and maintain ElasticSearch, Google BigTable, Redis, and Yugabyte YCQL Databases Clusters. For example, combined multiple ES clusters containing 12 billion documents into a single cluster ES without downtime, reducing cost ~$42k annually.- Enhance in-memory cache within core layer, managing millions of keys. Achievements include reducing the number of nodes by 80%, decreasing DB calls by 60%, lowering latency by 47%, and cutting costs by ~$45k annually.- Implemented an automated data pipeline use case, transitioning from manual code to automated processes. This automation reduced man hours by 90%, significantly improving efficiency and freeing up valuable resources for other critical tasks.

- Manage most of the developer repositories team.- Create and design low-latency REST API for Mobile Apps,GraphQL for Blog and Website, and gRPC-web for InternalAdmin Dashboard from databases written using Golang.- Optimizing code to reach low latency API by usingGoroutine and caching system by using Redis.- Create an Internal Admin Dashboard by using ReactJS.- Design and implemented microservice architecture inGoogle Cloud Platform, orchestrated by Google KubernetesEngine.- Create database machines with master-slave configurationfor MySQL and MongoDB, and design Virtual PrivateConnection Cloud for connecting all services to databases.- Create and manage configuration for CI/CD by usingCircleCI and Google Cloud Build.- Create and manage path rules in HTTP(s) External LoadBalancer GCP for incoming requests from the internet to allbackend services.