With over a decade of experience, including six years dedicated to DevOps, Azure, AWS Cloud, and CI/CD pipelines, I possess a comprehensive skill set in cloud infrastructure and automation. My expertise covers Docker and Kubernetes across multiple cloud providers, aiding developers in containerizing applications and deploying them in public or private clouds. I have efficiently managed Azure infrastructure, configuring services like Azure Web Roles, Azure SQL, and Azure Application Gateway, utilizing ARM Templates and Azure DevOps YAML Pipelines for streamlined deployment processes.As a certified AWS DevOps Engineer, I've led product development initiatives and emphasized high availability and fault tolerance using Terraform Templates and AWS Lambda. My experience includes designing AWS Cloud Models for IAAS and PAAS, crafting Python scripts for automating AWS services like EC2 instances and databases. I've executed seamless AWS to Azure migrations, leveraging tools such as the Migration Assessment Tool and ASR Deployment Planner for optimized workload performance during transitions. In container orchestration, I've evaluated Kubernetes, managing charts with Helm to ensure reproducible builds and customizable deployments. My expertise extends to security domains, including Identity and Access Management, Role Governance, and Identity Federation.Additionally, I've designed strategies for optimizing continuous integration, release, and deployment processes using container and virtualization techniques like Docker and Kubernetes. I've utilized monitoring tools such as Nagios and ELK for server monitoring, ensuring efficient load balancing and traffic control with Net Scalar. Leveraging Git and Azure Repositories, I've managed version control, resolving conflicts related to source code merging. Furthermore, I've developed end-to-end functional automation scripts using Selenium WebDriver and created unit test cases for Java JEE-based server-side code, ensuring code execution accuracy and full coverage. My proficiency extends to managing Linux infrastructure using integrated tools like Puppet and CFEngine, troubleshooting network and system issues effectively, and automating administrative tasks with scripting languages like Python, Bash/Shell, and PowerShell.