 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)

• Versatile professional with more than 8 years of experience as Software Configuration Management and DevOps. • Understands the melding of operations and development to quickly deliver code to clients. • Seeking to leverage proven DevOps skills to raise quality at organization. • Skilled in Automation, Source Code Management, CI/CD, IaC, ALM, Software Build Engineering, Container Orchestration, Automated Testing Tools Integration, Cloud Computing. • Excellent communication skills acquired during years of direct contact with development teams, from tech support to handling tickets. • Creative, I am able to work well with others in a team to complete projects in a deadline-driven environment.

A versatile senior DevOps engineer with significant expertise in building and developing new development tools and infrastructure, and in the automation of operations and processes. Brings a deep understanding of a wide variety of development technologies. Builds strong stakeholder relationships and is an empowering and motivating team leader. High levels of determination and a solutions-focused approach. Thrives in building solutions that make a tangible difference to operational performance.

6 years of experience dedicated to optimization, experienced DevOps Engineer understands the melding of operations and development to quickly deliver code to customers. Experienced with the Cloud and monitoring processes as well as DevOps development in Windows, Mac, and Linux systems. experience working as a DevOps Engineer since shortly after the concept was introduced