Pavan Kumar Eligeti | OpenTalent

Key Strengths

4+ years of experience as a DevOps and AWS Cloud Engineer, demonstrating relevant industry tenure.
Proficiency in core AWS services including IAM, VPC, EC2, EBS, S3, ELB, Auto Scaling, Route 53, CloudWatch, SNS, SQS, and RDS, aligning well with cloud infrastructure requirements.
Strong command of essential DevOps tools such as Ansible, Docker, Kubernetes, GIT, Jenkins, Maven, and Terraform, indicating a comprehensive toolchain understanding.
Experience in designing and implementing highly available, cost-effective, and fault-tolerant systems using AWS services.
Demonstrated ability in CI/CD pipeline automation, including Jenkins master/slave configurations, parallel builds, and artifact management with Nexus.
Hands-on experience with containerization technologies (Docker, Kubernetes, EKS, Kubeadm) and microservice deployments.
Proficiency in infrastructure as code (Terraform, JSON) for provisioning AWS resources.
Experience with monitoring tools like CloudWatch, Prometheus, and Grafana for system performance and alerting.
Resume indicates self-motivation, quick learning, and effective collaboration, which are valuable soft skills for a senior role.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data due to a zero score on the psychometric test. No basis for assessment of logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

Insufficient data from psychometric test (score 0). Resume mentions self-motivation, quick learning, and effective collaboration, but these claims are unvalidated.

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About

I have been working as a DevOps Engineer for Cigna, a U.S.-based global health services organization, since, The project’s primary goal was to modernize and automate the infrastructure, improve deployment efficiency, and enable faster, more reliable delivery of applications across multiple environments — DEV, STAG, QA, and PROD. I designed and managed a complete CI/CD pipeline using Jenkins, integrating GitHub for version control, Maven for build automation, and SonarQube for code quality checks. Deployments were automated to different environments, ensuring minimal downtime and consistent configurations. On the infrastructure side, I implemented AWS cloud solutions using Terraform, provisioning EC2 instances, VPCs, security groups, and configuring services like Auto Scaling, IAM, ELB, S3, Glacier, CloudFront, RDS, Route53, SNS, and EBS. I also set up CloudWatch alarms to trigger scaling events automatically. For containerization, I worked with Docker to build and customize images, pushing them to ECR, and then deploying them onto Kubernetes clusters for running microservices. I also automated server provisioning and application deployments using Ansible and integrated it with Jenkins for zero-touch deployments. Additionally, I created Bash and shell scripts for repetitive tasks, worked on DNS configurations for attaching web and media servers to ALB target groups, and collaborated with the team for database migrations using Ansible and Octopus Deploy. Throughout the project, I actively participated in Scrum ceremonies, maintained detailed documentation, and ensured smooth collaboration between development and operations teams.