# About me Proficient with Python, hands-on Kubernetes, and network protocols experience. Focused on Cloud DevOps Engineering, Docker, CI/CD, and monitoring best practices. {% embed url="" %} ## My hard skills are: * Proficiency in automating event-driven microservices using Serverless AWS Lambda, AWS S3 buckets, and AWS EC2 instances to run performance tests using the Python pytest framework. * Building and maintaining CI/CD release pipelines using various tools such as CircleCI, GitHub Actions, Jenkins, and Docker for linting, smoke, regression functional, and performance testing * Creating on-premises device farm solutions using Sift for test orchestration * Proficiency in troubleshooting cloud infrastructure issues in AWS and GCP * Deploying infrastructure as Code (IAC) using CloudFormation, AWS CLI, Ansible, Lambda, and S3 Storage Amazon services in dev and test environments * Maintaining monitoring and alerting using Grafana, Prometheus, CloudWatch, EventBridge, SNS, SQS * Management of teams, with experience in global team management as well as creating a strategy for team development and motivation * Defining test plans and methodologies for enterprise-level release pipeline ## My soft skills are: * Excellent communication skills to interact with enterprise-level partners and coach a global team of engineers * Experience in working in an Agile environment and providing onboarding and ongoing coaching for global team members. * Strong problem-solving and troubleshooting skills to identify and resolve issues related to cloud infrastructure, mobile devices, CI/CD pipelines, and web applications * Detail-oriented with a keen eye for identifying defects and potential issues in SDKs and applications * Ability to work independently and as part of a team in a collaborative environment * Flexibility and adaptability to work with changing requirements, timelines, and priorities * Strong organizational and time-management skills to effectively manage and prioritize multiple projects simultaneously * Positive attitude and willingness to learn new technologies and methodologies to stay current in the field.
## Technical stack: |

Cloud Services: AWS, GCP, Azure, DigitalOcean

Programming: Python, Bash/shell, JavaScript

IAC: Terraform, Terraform Cloud, Ansible,Ansible Galaxy, CloudFormation

Containerization: Kubernetes, Docker, Docker-Compose, AWS EKS, ECS, Fargate

CI/CD: CircleCI, CodePipeline, GitHub Actions

SVC, Repo: Git, GitHub, DockerHub

Platforms: Linux / Unix (CentOS/Ubuntu), Windows

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