Dasi Nagaraju

Cloud DevOps Engineer

Key Strengths

4.5 years of experience as a DevOps Engineer with exposure to AWS, Linode, and Azure cloud environments.
Demonstrated expertise in containerization technologies including Kubernetes, Docker, and OpenShift (ROSA).
Proficient in Infrastructure as Code (IaC) using Terraform and CloudFormation for automation.
Strong background in CI/CD pipeline implementation with Jenkins and GitLab CI/CD.
Extensive experience with monitoring tools such as Datadog, Prometheus, Grafana, ELK stack, and CloudWatch.
Solid Linux system administration, troubleshooting, performance tuning, and production support skills.
Experience in Python and Shell scripting for automation.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 provides no data to assess cultural fit, including logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit

The psychometric test score of 0 provides no data to assess logical reasoning, work attitude, stress handling, or team collaboration. While the resume mentions troubleshooting and production support, implying problem-solving and operational skills, these are not validated by any assessment data.

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Assessing your cultural and operational fit

About

In my role as an AWS Cloud Support and DevOps Engineer at Global Data Research Centre Pvt Ltd, I have extensively utilized various AWS services to enhance cloud infrastructure and streamline deployment processes. My experience spans around four years, during which I have worked with core AWS services such as EC2, S3, VPC, IAM, and RDS. For instance, I have set up and managed Red Hat OpenShift Service on AWS (ROSA), which involved configuring AWS IAM for access control, setting up VPCs for networking, and utilizing S3 for storage solutions. I automated the provisioning of ROSA clusters using AWS CLI and Terraform, which significantly reduced deployment times and minimized human error. My hands-on experience with AWS CloudFormation also allowed me to implement Infrastructure as Code (IaC) practices, ensuring that our infrastructure was reproducible and manageable. Additionally, I have monitored AWS environments using CloudWatch to maintain system health and performance. This comprehensive experience with AWS services has equipped me with the skills necessary to design, develop, and maintain scalable cloud architectures, which aligns perfectly with the requirements of the AWS Engineer role at Info Origin Technologies.

Key Strengths

4.5 years of experience as a DevOps Engineer with exposure to AWS, Linode, and Azure cloud environments.
Demonstrated expertise in containerization technologies including Kubernetes, Docker, and OpenShift (ROSA).
Proficient in Infrastructure as Code (IaC) using Terraform and CloudFormation for automation.
Strong background in CI/CD pipeline implementation with Jenkins and GitLab CI/CD.
Extensive experience with monitoring tools such as Datadog, Prometheus, Grafana, ELK stack, and CloudWatch.
Solid Linux system administration, troubleshooting, performance tuning, and production support skills.
Experience in Python and Shell scripting for automation.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 provides no data to assess cultural fit, including logical reasoning, work attitude, stress handling, or team collaboration.

Soft Skills & Operational Fit