• Build environment within AWS using EC2 instance creation, Route 53 DNS routing, Cloud Watch alarming, Virtual Private Cloud setups, AWS Elastic Load Balancing, Auto Scaling groups.• Integrated AWS DevOps tools with Kubernetes deployments, enhancing continuous integration and delivery pipelines for seamless application updates and releases.• Using Ansible, AWS CloudFormation, and Jenkins for Continuous Integration, we designed and developed an AWS Cloud infrastructure with high availability, secure multi-zones, and automated end-to-end transit hub connection resource deployment using Terraform.• Employed AWS CloudFormation or Infrastructure as Code tools like Terraform to define and provision cloud resources, ensuring consistency and automation.• Leveraged PowerShell scripting to automate AWS infrastructure provisioning and management tasks, utilizing AWS Tools for PowerShell module. • Proficient in leveraging AWS services such as EC2, S3, RDS, Lambda, and VPC to architect scalable and resilient cloud solutions.

• Implemented CI/CD pipelines using Yaml Templates in Azure DevOps for artifact migration deployments in relevant environments.• • Build environment within AWS using EC2 instance creation, Route 53 DNS routing, Cloud Watch alarming, Virtual Private Cloud setups, AWS Elastic Load Balancing, Auto Scaling groups.• Setting up private networks and sub-networks using Virtual Private Cloud (VPC) and creating security groups to associate with the networks.

• Configured Azure Virtual Networks, subnets, DHCP, network settings, DNS, security policies, and routing. Additionally, you've deployed Azure IaaS VMs and PaaS services in secure Virtual Networks.• Created Azure Automation Assets, Graphical runbooks, PowerShell runbooks that will automate specific tasks, deployed Azure AD Connect, configuring ADFS authentication flow, ADFS installation using Azure AD Connect.• configured AKS cluster orchestration for microservices deployment with autoscaling and monitoring. Azure App Service was used for deploying and updating Java and Python-based microservices.

• Used AWS services such as EC2, RDS, Route53, S3, AWS DynamoDB, AWS Kinesis, AWS Glue, AWS SNS, AWS VPC, AWS Redshift, AWS CloudWatch, AWS SQS, EFS, AWS IAM, Elastic Cache, CloudFormation, and VPC, a sophisticated hybrid environment was designed and built. AWS Cloud Watch was utilized to monitor the application infrastructure, and AWS SNS was used for notification.• Participated in the implementation of AWS servers, helping with EC2 provisioning, auto-scaling, and load balancing. helped with difficult application migration from internal data centers to AWS, delivering a smooth transition with minimal effect on customers.• Utilized recently published APIs to centralize AWS EC2 instances in VPC, create user groups with IAM, and employ unique IAM profiles for each group to provide fine-grained resource control.