 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 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.

I am an Engineer with experience in cloud, Linux technologies, and automation. I work in close partnership with clients and help them to discover their true requirements, goals, objectives, and to choose the right technical and architectural solutions. In the past few years, I was working on big international projects with customers from Asia, Europe, and USA and team leading engineers on these projects.

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.

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.