Over 8+ years of IT experience as a DevOps Engineer in automating, building, deploying and releasing of code from one environment to another environment. Implemented AWS Cloud Computing services such as EC2, S3, Lambda, API, DynamoDB, EBS, VPC, ELB, Route53, Cloud Watch, Security Groups, Glue, Quick Sight, Cloud Trail, IAM, Cloud Front, Snowball, EMR, RDS, and Glacier also worked on DNS, SSL and Firewalls. Worked on Multiple AWS instances, set the security groups, Elastic Load Balancer and AMIs, Auto scaling to design cost effective, fault tolerant and highly available systems. Experience in migrating complete application infrastructure from physical datacenter to AWS cloud which includes Application, Database and Data Migration. Experience in automation and securing the infrastructure on AWS using CloudFormation, Terraform and AWS Lambda. Experienced in Set up Auto Scaling of the instance group using AWS CLI (Command line tools) and AWS cloud environments for DEV/QA environments and Provided proof of concept (POC) on designing serverless architecture using Cloud Dataflow, Cloud Data prep. Experience on Configuring VMs availability sets using Azure portal to provide resiliency for IaaS based solution and scale sets using Azure Resource Manager to manage network traffic. As a Microservice, I created enterprise-wide DNS historical data trending analysis tools in Go (Golang), languages with REST API for user requests. Golang backend development for a Limit Monitoring system. Extensive experience on Microsoft Azure Cloud Services to provide IaaS, PaaS support to the client. Created Virtual Machines through the Azure portal and PowerShell. Experience in dealing with Windows Azure IaaS - Virtual Networks, Virtual Machines, Cloud Services, Resource Groups, Express Route, Traffic Manager, VPN, Load Balancing, Application Gateways, Auto-Scaling. Worked on GKE Topology Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers GKE Diagram including masters, slave, RBAC, helm, kubectl, ingress controllers Integrated Jenkins with Docker container using Cloud bees Docker pipeline plugin and provisioned the EC2 instance using Amazon EC2 plugin