Fayaz Sk

Sr Cloud Devops Engineer at Cvs Health

Based in United States

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Seniority

Staff

Department

Information Technology

Location

United States

Industry

Hospitals and Health Care

Company size

134K

Contact information

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Email

1 credit

f•••••••@cvshealth.com

Phone

5 credits

+1 ••• •••• ••••

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Background

About Fayaz Sk

Sr. Cloud DevOps engineer with over 10+ years’ experience in Cloud (Azure, AWS), DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). Experience in dealing with Unix/Linux and Windows server administration. The candidate possesses extensive hands-on experience in administrating various Microsoft Azure services such as Azure App Services, Azure SQL Database, Azure AD, Azure Blob storage, Azure Functions, Virtual machines, Azure Data Factory, Azure web applications, Azure Service Bus, and Notification hub. They have a proven track record in designing Azure Resource Manager (ARM) Templates and PowerShell scripts for automation, utilizing tools like Packer and Azure Shared Image Gallery for VM provisioning, and configuring Azure Automation Desired State Configuration (DSC) for role-based access control and automation. Furthermore, the candidate demonstrates expertise in implementing Continuous Integration (CI) with Azure DevOps tools and Azure Kubernetes Services (AKS), configuring Azure Infrastructure as a Service (IaaS), setting up monitoring and alerting tools like Prometheus and Grafana in Kubernetes, and managing Azure Active Directory for secure user authentication and access control. They also showcase experience in AWS networking and content delivery systems, Blue/Green Deployment Strategies, Docker image building, Jenkins automation, and Terraform Infrastructure as Code (IaC) in both Azure and AWS environments. In addition to their cloud expertise, the candidate has a strong background in Linux application management, container orchestration using OpenShift and Kubernetes, CI/CD pipeline implementation using various tools, server monitoring using Nagios, Splunk, AWS CloudWatch, Azure Monitor, and ELK stack, as well as experience in Software Configuration Management (SCM) methodologies such as Agile, Scrum, and Waterfall. Overall, I bring a wealth of technical skills and practical experience in cloud administration, automation, CI/CD, containerization, server management, and SCM best practices.

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