 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,

3+ years of commercial experience in a DevOps engineer position. ● Creating and optimizing Docker-images and building CI/CD pipeline for microservice applications for rapid artifact delivery; ● Setting up application deployments, configuring services and ensuring they are monitored within a Kubernetes cluster; ● Automate application deployments to simplify application release and update management using Helm charts; ● Manage infrastructure and applications using declarative ArgoCD configurations to comply with the GitOps approach. Translated with DeepL.com (free version)

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.

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.

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.