Excellent specialist in DevOps, Cloud. Ready for projects with major complexity. Strong experience in the indicated skills.

 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,

Skilled Software Engineer with more than 10 years of experience working in a variety of environments with a breadth of programs and technologies. His goal is to take a challenging and high performance oriented role in the field of Computer engineering and implement the expertise and experience gained in this field to develop, automate and maintain complex projects with efficiency and quality. Experienced in Azure (3+ yrs), Azure DevOps (3+ yrs), AWS (3+ yrs), Terraform (2+ yrs), Kubernetes (1+ yrs).

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.

A Cloud engineer having progressive and extensive experience in architecture, implementing and delivering cloud computing solutions a problem-solver who is passionate about providing elegant solutions to complex challenges andthrive in a continuous learning environment. • A competent Cloud Engineer with 5 years of experience in Security and optimizing mission critical deployments over infrastructure. • Cloud Experience with cloud platforms such as Amazon Web Services (AWS) & Azure • Understanding of security requirements and compliance requirements for Cloud implementations • Experience in Cloud Security and Serverless Architectures • Hands on experience in setting up Autoscaling Groups for EC2. • Proficient in AWS services like VPC, EC2, S, ELB, Autoscaling Groups (ASG) RDS, IAM, Route 53, Terraform. • Experienced in creating multiple VPC’s and public subnet, private subnets as per requirement and distributed them as groups into various availability zones of the VPC. • Perform monitoring using CloudTrail for governance, compliance, and risk auditing • Implementation of security features like IAM, DLP, Security groups, AWS Security Hub – Cloudwatch alerts. • Updating the AMI access across accounts for latest image deployment. • Configured S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement. • knowledge of AWS data analytics services like EMR ( Elastic Map Reduce) • Experience in creating, and managing cluster on cloud using EKS ( Elastic Kubernetes Services)