 Having Strong 5+ Years Of Experience AWS Engineer, Azure Engineer, MLOPS Engineer, Azure DevOps Engineer, Data DevOps Engineer Implemented with Python DevOps Automation tools , DevOps DevSecOps,GCP Cloud Engineer,  Excellent working knowledge on Kubernetes, Cloud (AWS/GCP/Azure), DevOps, Python, Docker, Jenkins technologies.  Pipeline YAML pipeline job access tokens pipeline reports, Have deployed multiple projects on different servers Nginx, Apache, ArgoCD  As a Cloud DevOps engineer worked an agile team of Engineers and Operations personnel to build highly resilient, scalable, and performant GCP infrastructure in an automated and efficient manner.  As a DevOps engineer will work alongside the Application development teams and crossfunctional IT teams. using their initiative to innovate to achieve maximum performance and be prepared to investigate and use new products/services offered by GCP.  As a Data Science & ML & AI Engineer Strong knowledge of Data Science/Data Analytics life cycle processes, tools & techniques  Demonstrable GCP (Google Cloud Platform) experience - infrastructure build and configurations of a variety of services including Compute, Storage, SDN (VPC and XPN); Cloud IAM, Cloud CDN, Cloud Load Balancing, Cloud Storage, App Engine, Cloud SQL for MySQL.  Experience with Google Kubernetes Engine and Kubernetes Engine Monitoring, Experience with Logging, Monitoring, and Observability in Google Cloud Monitoring, DataDog, Splunk,Promethus, Grafana.  Automation scripting (using scripting languages such as Terraform, Ansible, Ability to quickly acquire new skills and tools  SRE team is responsible for the reliability and performance of our cloud infrastructure, the continuous integration and delivery pipelines, and the development tools used to build our services, Linux, Docker, Kubernetes, GCP/AWS, MySQL, Redis, Familiarity with Python,

 Having 4+ years of working Experience in design, develop, automate application in Azure DevOps and AWS DevOps using both cloud Framework.  Subject Matter Expert in various Components Azure Cloud, Aws Cloud and Azure DevOps and other Open Source Tools Using DevOps Process.  Experience with CI (Continuous Integration) and CD (Continuous Deployment) methodologies using Azure Pipeline, Jenkins tools in an Agile Environment tools.  Excellent knowledge of CI (Continuous Integration) and CD (Continuous Deployment) pipeline with YAML, ASP.net, Python php etc.  Expertise in installing, configuring and managing WEB LOGIC, Apache, and VMware Server in clustered environments for High Availability, Load balancing and fail over.  Excellent configuration management using Chef, Ansible.  Expert in capturing the entire “Infrastructure as Code” using tools like Terraform, Packer.  Experience in using build tools like Maven for the building of deployable artifacts such as JAR, WAR and creating Jenkins CI pipelines and good experience in automating deployment pipelines.  Azure VM instances, static IP, Network security groups, SSL, Auto scaling, Load balancer, key-pairs, Azure image.  Azure Storage account, blob, Versioning, Server access logging, static website hosting, disaster management.  Automated processes involved in Docker container deployment using Azure DevOps.  Experience coding in frameworks (Terraform) to automate environments.  Worked extensively with AWS services like EC2, S3, VPC, AMI, EBS, Auto Scaling Groups, Route 53, IAM and ALB, Cloud Watch, Cloud Trail, Beanstalk.  Good Knowledge on PowerShell scripting, YAML Scripting, Shell Scripting, Bash Scripting.  Experience in setting up the CI/CD pipelines using Jenkins, Maven, GitHub, and AWS.  Azure application service as IAAS,PAAS,SAAS with Auto scaling and load balancer.  Created continuous integration system using Jenkins, Puppet full automation, Continuous Integration

• Overall 4+ years of IT experience with Microsoft Azure Cloud Engineer experience. Proven ability to successfully analyze an organization cloud migration, managing both classic & ARM portal. • Troubleshooting access related issues, Azure services involving in software design and implementation of various Client Server applications. • Experience in various Cloud service models, including IaaS, PaaS, and SaaS and supporting deployment models, including Private, Public, and Hybrid cloud. • Good experience of agile development methodology in designing and implementation of Continuous Integration and Delivery (CI/CD) methodology. • Configuring and managing Virtual Machines using Windows Azure portal, configuring and monitoring Cloud services. • Proven experience on create Branching and Tagging concepts in Version Control tool like VSTS with GIT. • Experience in Deployment of Active Directory in a multi-domain, multi-forest environment. • Having Expertise knowledge in configuring the Site-to-Site and Point-to-Site VPN connections. Experience in PowerShell scripting for automation of technical activities. • Good exposure in Azure networking, Storage, VM provisioning, Automation, Monitoring, OMS, AZ Copy, AD, Application Insights, Azure Roles, ARM etc. • Hands on experience on Azure automation by creating Run books and scheduling jobs. • Proficient in ARM templates, automated few ARM resource creations using ARM templates. • Configured Azure Virtual Networks (VNets), subnets, Azure network settings, CIDR address blocks, DNS settings, security policies. • Installing, Configuring and managing of Active directory, DNS, IIS and FILE servers. • Working experience in GIT, VSTS, TFS, ARM Templates, JIRA. • Setup Azure Virtual Appliances (VMs) to meet security requirements as software-based appliance functions (firewall, WAN optimization and intrusion detections). • Exposed Virtual machines and cloud services in the VNets to the Internet using Azure External Load Balancer.

More than 10 years of extensive experience in IT. More than 5 years of experience designing, building and maintaining enterprise solutions in Azure Cloud. Excellent knowledge of Microsoft Server products such as: Windows Server 2008/2012/2016, MS SQL Server 2012/2014, System Center Operation Manager 2012 R2, Internet Information Services, PowerShell scripting (automation of routine operations and deployment pipeline). Key skills: Design of HA cloud infrastructure based on Azure Implementation, support of CI/CD pipelines for solutions using automation tools. Implementation and support of infrastructure for solutions on public/hybrid cloud in Azure Development of cloud configuration management and deployment automation using Infrastructure as a Code and Continuous Integration as a Code tools. Completed Courses (Microsoft Azure and DevOps): - Microsoft Azure Virtual Machines (Microsoft - AZURE202x) - Microsoft Azure Virtual Networks (Microsoft: AZURE203x) - Microsoft Professional Orientation : Cloud Administration (Microsoft - AZURE215x) - Continuous Integration and Continuous Deployment (Microsoft: DEVOPS200.3x) - Infrastructure as Code (Microsoft: DEVOPS200.2x) - Automating Azure Workloads (Microsoft: AZURE210x) - DevOps Practices and Principles (Microsoft DEVOPS200.1x) - Microsoft Azure App Service (Microsoft: AZURE206x) - Azure Kubernetes Service (AKS) - Docker and Kubernetes

A proven SRE Operations Engineer having 6 years experience in IT Global Operations, Devops , Linux , Devsecops and Cloud engineering seeking a challenging career in a progressive organization, which will utilize my skills and abilities and provides opportunities to grow. Professional Summary: • Good knowledge in Shell scripting • 5+ years of industry experience in the area of Continuous Deployment using DevOps tools (Jenkins, Ansible, Git, Terraform) • Good in automate the provisioning of servers using Terraform • Gathering existence infra system configuration and on-demand environment provisioning with enhancement using terraform and Ansible tools • Experienced in working Containerization tool like Docker, Kubernetes • Adequate knowledge in Git& SVN • Strong Expertise in Linux Administration • Basic knowledge on writing pipeline script using Groovy , Yaml • Experience in creating Instances, VPN, VPC, SG, volumes, ACL's, etc. • Responsible for maintaining end to end application SDLC. • Good team player with good communication and interpersonal skills and a fast learner of new technologies, willing to take up responsibilities. • Experience with ELK (Elastic Search ,Kibana, Logstash) technologies to maintain system level and application level logs • Experience in monitoring application, VM's free space, disk space, memory, etc. using. Sensu. Nagios,Appdynamics, Datadog etc... • Experience in setting up observability stack(Prometheus, Grafana , Loki and Jaeger) and monitoring using APM tools.