● Having around 6 years of experience in IT industry as Application Support & DevOps Environment, Cloud AWS (Amazon Web Services), Docker, Terraform, Jenkins & Kubernetes ● Having a total 3.5 years of experience in Aws Cloud Environment as well as implementing Devops Methodologies for setting and maintaining CI/CD pipelines and delivering release for multiple applications on Linux Based distributed infrastructure. ● Having experience in GIT, Ansible, Docker, Jenkins and Terraform & Kubernetes. ● Designed, built, and deployed multitude applications utilizing almost all of AWS, Including EC2,S3, IAM, EKS, SNS, VPC, ECS, Cloud Watch, EFS, Elastic Load Balancer, Route53, Auto Scaling in launching EC2 instances, Cloud Trail, RDS, AWS CLI, Cloud Front, and DB Snapshots. ● Experience in Linux System Administration, Build Engineering & Release Management process, including end-to- end code configuration, building binaries & deployments and entire life cycle model in Enterprise Applications. ● Having good working experience in Job Automation Enhanced User Security with SUDO, Backup & Restore (tar and gzip). ● Have good knowledge in installing, configuring, and administering Jenkins Continuous Integration tool on Linux servers along with updating plugins such as GIT, Maven. ● Experience working with SonarQube, a code quality control tool for continuous inspection. ● Good Knowledge in shell scripting. ● Experience is using Apache and Nginx web servers and application servers like Tomcat for deployments. ● Experience with Docker and Kubernetes for different infrastructure setups and testing of code. ● Experience with Configuration and Maintenance of Automation tools like Ansible. ● Having good Experience with Ansible and writing playbooks for server configuration. ● Used Ansible to manage web applications, environment configuration files, users, mount points and packages. ● Automated application deployment to web/application servers in cloud using Docker

 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,

Good communication skills, Good memory, Well organized. About Me : Sociable, Pragmatic, Analytical mind, Stress resistance, Ability not to give up even in desperate situations. My Hobbies: Swimming, chess, Artificial Intelligence, Deep Learning, Machine Learning, reading books.

Experienced and goal-oriented DevOps Engineer with multiple years of experience in IT. Incorrigibly responsible and focused on fast and high-quality task completion person. There is knowledge and experience in deploying infrastructure networking components and continuous delivery, testing, and deployment of code. Communicative, able to work in a team, and assimilate a large amount of new information.

DevOps Engineer with technical knowledge and hands-on experience in DevOps, Build Engineering, Automation and Configuration Management. Has experience in designing and implementing fully automated Continuous Integration, Continuous Deployment pipelines and DevOps processes. Has extensive experience in designing and administration of local networks, system administration. Started working in IT more than 6 years ago as a system and network administrator. Subsequently advanced to a DevOps Engineer. The acquired experience had a considerable influence on the workflow management, focusing on the fault tolerance and stability of the systems.