Deekshit Vanamala
Lead Devops Engineer at Principal Global Services
Based in United States
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Seniority
Manager
Department
Information Technology
Location
United States
Industry
Financial Services
Company size
3.7K
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d•••••••@principal.com
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Background
About Deekshit Vanamala
Cloud DevOps Engineer | 9+ Years of Expertise in CI/CD, AWS Cloud, Kubernetes, Python Lead DevOps Engineer with over 9 years of expertise in developing robust CI/CD pipelines, managing AWS, Kubernetes and On-Prem infrastructure and application deployments. Demonstrated success in delivering high-impact DevOps solutions for diverse US based Banking and Financial sectors in the United States. Proficient in AWS, Kubernetes (EKS), Docker, and a comprehensive array of DevOps tools including Jenkins, Terraform, Ansible, Puppet, Vault, Maven, Gradle, Artifactory, uDeploy (DevOps Deploy), Octopus, SonarQube, GitHub Actions, GitLab CI/CD and Azure DevOps. Skilled in Python, Java, Groovy, and shell scripting for building sophisticated automation solutions. Designed and implemented multiple CI/CD pipelines using GitHub Actions, GitLab CI, Ansible, Jenkins AWS CodePipeline, SonarQube, Artifactory, Maven and digital.ai Release for Banking, Financial and HealthCare sector projects, reducing release cycles from weeks to hours and improved software quality. Expert in Terraform, Ansible, Python and for provisioning and managing infrastructures. Deployed infrastructure-as-code practices to launch Kubernetes (AWS EKS) environments for a global banking client, reducing setup time by 50%. Proficient in Kubernetes (on-prem and AWS EKS) and Docker for managing containerized applications in multi-cloud environments. Designed and implemented a Kubernetes-based infrastructure for a U.S. financial system, ensuring high availability, security, and scalability. Configured Kubernetes networking (ingress controllers, services, network policies) for secure communication, optimized resource utilization through autoscaling and efficient node management, and implemented RBAC, network policies, and Secrets management to ensure security and compliance. Developed automation scripts using Python, Groovy, Java, and Shell to streamline operations, including scaling Kubernetes deployments with HPA, automating AWS resource management (EC2, RDS backups, and snapshots) using Boto3, and setting up monitoring and environment provisioning for cost and performance efficiency. Recognized for clear communication and collaboration across technical and non-technical teams. Facilitated trainings and workshops to align DevOps and on-prem to cloud migration strategies with business objectives, ensuring smooth adoption of AWS and Kubernetes.
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