Sharma Palani
Azure Cloud Engineer @Egen
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WORK HISTORY
Azure Cloud Engineer @Egen
CA
Managed a scalable, high-availability Azure infrastructure utilizing Azure VMs, App Services, and SQL, ensuring robust application deployment and database service availability• Developed ARM templates and Terraform scripts, automating the provisioning and management of Azure resources, which enhanced operational efficiency and consistency• Automated routine cloud operations using PowerShell and Azure CLI, significantly reducing manual effort and minimizing the potential for human errors in cloud resource managemnt• Maintained CI/CD pipelines utilizing Azure DevOps, Jenkins, Git, Docker, and Kubernetes, ensuring seamless, automated builds and deployments across various projects• Orchestrated VMware and DNS configurations, virtual machine management and efficient domain name resolution across corporate networks, enhancing system reliability and network operations• Administered containerized applications using Kubernetes and Azure Kubernetes Service, optimizing application performance through strategic resource management and deployment practices• Configured secure network architectures including Virtual Networks, VPNs, Azure ExpressRoute, and Network Security Groups, ensuring compliance with industry security standards• Utilized Azure Monitor, Log Analytics, and Application Insights for advanced monitoring, logging, and performance analytics, enabling proactive issue detection and system optimization.
EDUCATION
PSG College of Technology
Bachelor's degree
University of Windsor
Master's degree
ABOUT SHARMA PALANI
Nearly 4+ years of experience as an Azure Cloud, DevOps, and Site Reliability Engineer, specializing in Windows OS administration and cloud optimization, maintaining high availability, scalability, and performance across cloud environments• Experienced in Azure DevOps, defining branching strategies and creating CI/CD pipelines for infrastructure and configuration management, ensuring seamless deployment of Windows-based applications across environments• Proficient in Datadog for monitoring system resources like CPU, memory, disk usage, and database connections, automating actions based on real-time data to maintain application performance• Adept in Azure Virtual Networking, configuring virtual networks, subnets, NSGs, and Azure Firewall to secure and optimize communication across cloud environments, ensuring high security and availability• Extensive experience in designing, deploying, and managing cloud-based solutions on Microsoft Azure, utilizing services like VMs, storage, networking, and security to meet business requirements• Strong background in Site Reliability Engineering (SRE), focusing on infrastructure as code (IaC), deployment pipelines, and monitoring/logging for creating reliable, scalable, and highly available systems• Proficient in creating and documenting cloud architecture diagrams, ensuring clear and precise visualizations that support collaboration between developers, architects, and stakeholders• Skilled in using Git and Jenkins for version control and automating build and deployment processes, creating infrastructure pipelines in Jenkins to ensure repeatable, automated deployments• Experienced with Terraform and Ansible for infrastructure automation, implementing scalable, reliable automation for provisioning and configuring cloud resources using infrastructure as code principles• Expert in managing Azure resource security using Azure Security Centre, Azure Policy to ensure compliance, security, and operational efficiency in cloud environments• Proficient in Azure Kubernetes Service (AKS) for container orchestration, managing Kubernetes clusters to run high-performance, scalable, and secure containerized applications in Azure• Skilled in configuring and optimizing Linux solutions in Azure, focusing on performance, security, and scalability for Linux-based workloads while ensuring availability within Azure• Experienced in Site Reliability Engineering for high-traffic applications, with a strong focus on SLOs, SLIs, and SLAs, implementing and monitoring these metrics to ensure systems meet performance
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