 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,

Experienced DevOps with a strong background in on-premises server management, including expertise in various operating systems such as Windows Servers and Linux. Recognizing the growing significance of cloud infrastructures in today's business landscape, he is now highly motivated to expand their knowledge and skills in this domain.

● 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

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.

Automate applications deployments in Kubernetes. Creation and maintenance of all processes of automatic testing and analysis of programm codes. Splitting monolithic applications to micro- services and containerization using Docker. Writing scripts to automate tasks using Python, Bash, Golang. Actively manage, improve and monitor cloud infrastructure. Writing programs in Golang for a wide range of tasks: CLI-applications/tools, TCP-/UDP- application, parsing data structures, automating routins. Creating, designing, maintaining infrastructure and management with the Terraform or libraries/packages like AWS CDK with Python and Golang.