Devops Engineer Azure

KAVYA PRIYA SIBBALA

DevOps Engineer

*******.*******@*****.*** +1-928-***-****

LinkedIn Profile Arizona, USA

Skills

AWS, GCP, Azure, Jenkins, Azure DevOps, Python, Docker, Kubernetes, Terraform, Cloud Formation, Ansible, GitHub, Shell Scripting, Dynatrace, Datadog, Prometheus, Splunk, Grafana, Nagios, CloudWatch, ELK Stack, Linux, Windows, Cloud SQL, MongoDB

Professional Experience

ACG (Auto Club Group), Michigan Capgemini Apr 2022 – Aug 2023

• Automated GCP resource provisioning with Terraform, boosting deployment speed by 60%.

• Developed Python scripts for CI/CD monitoring, cutting deployment errors by 40%.

• Implemented SDLC strategies and applied Agile methodologies for scalable development.

• Secured Kubernetes clusters in GKE and reinforced security compliance with IAM policies.

• Configured and managed Azure DevOps pipelines, improving deployment efficiency and code quality.

• Provisioned Azure infrastructure and optimized CI/CD pipelines for AKS deployments.

• Integrated Ansible for streamlined cloud resource management.

• Built Grafana/Kibana dashboards, enhancing monitoring and reducing incidents by 40%. The Walt Disney Capgemini Jan 2021 – Mar 2022

• Orchestrated AWS infrastructure, integrating Python-based monitoring with CloudWatch & ELK.

• Improved system uptime by 30% with Python-based ELK alerts.

• Automated Docker builds via Python, cutting build times by 25%.

• Strengthened multi-zone VPCs, boosting reliability by 50%.

• Maintained Grafana dashboards & collected logs using Nagios & Splunk.

• Designed auto-scaling & load balancing for peak performance.

• Refined S3 policies, reducing storage costs by 20%.

• Commissioned ECR with Jenkins, streamlining container deployments.

• Devised Dynatrace, DataDog & Prometheus enhancing reliability & uptime. Credit Agricole, French Bank Capgemini Apr 2018 – Dec 2020

• Engineered efficient infrastructure provisioning with Terraform & Python, accelerating setups by 50%.

• Designed Jenkins pipelines, reducing manual deployment effort by 70%.

• Incorporated SonarQube with Jenkins, enhancing code quality & reliability.

• Containerized legacy apps using Docker, boosting scalability & uptime by 35%.

• Enhanced deployments, configuration management, and patching with Ansible.

• Provisioned Kubernetes clusters and established network policies.

• Introduced Splunk, cutting incident response time by 30%.

• Simplified GitHub repositories with optimized branching, reducing conflicts by 40%.

• Facilitated Git with Jenkins for seamless builds & scheduling.

• Accelerated CI/CD workflows with Maven, Gradle & Python, cutting deployment time by 20%.

• Streamlined incident management via BigPanda & ServiceNow integration. Project: Budget Manager

Technologies: Docker, Kubernetes, Jenkins, Azure DevOps, MongoDB, GitHub, Python

• Designed and deployed a containerized microservices application using Docker.

• Managed Kubernetes deployments with separate services for frontend, backend, and database, utilizing YAML configurations for scalability.

• Configured Jenkins CI/CD pipeline to automate builds, run tests, and deploy updates seamlessly.

• Implemented Azure DevOps Pipelines to deploy the application to AKS.

• Developed a Python automation script to build, tag, push Docker images and apply Kubernetes manifests. Education

• Master of Science in Computer Science

Northern Arizona University, Arizona, USA GPA: 3.9

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