Sai Abhinav Dantuluri

DevOps/Cloud Engineer

Youngstown, OH.

About

Highly motivated and results-oriented DevOps Engineer with 2 years of hands-on experience in AWS cloud environments, specializing in infrastructure automation, CI/CD pipeline development, and container orchestration. Currently pursuing a Master's in Computing and Information Systems, I am adept at leveraging cutting-edge tools like Terraform, Kubernetes, and Ansible to build scalable, secure, and observable cloud solutions, ready to drive efficiency and reliability in dynamic US tech environments.

Education

Youngstown State University

Youngstown, OH, United States of America
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Master Computing and Information Systems Grade:

Skills

Operating Systems

Linux, Windows.

Languages & Scripting

Python, Bash.

Databases

MySQL, SQL.

Version Control

GitHub, GitLab.

Monitoring & Logging

ELK Stack, Grafana, CloudWatch, Prometheus, Dynatrace.

Cloud Platforms

AWS (EC2, S3, IAM), AWS.

Containerization & Orchestration

Docker, Kubernetes (EKS), Helm.

Infrastructure as Code

Terraform (modules, workspaces), Ansible, AWS CloudFormation.

CI/CD & DevOps Tools

Jenkins, GitHub Actions, Git, AWS DevOps.

Work

Oak Brook Technologies Pvt Ltd

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DevOps Engineer

Hyderabad, Telangana, India

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Summary

Orchestrated end-to-end DevOps lifecycle, from infrastructure provisioning to continuous deployment and monitoring, to optimize cloud operations and enhance system reliability for enterprise-grade applications.

Highlights

Engineered and provisioned highly available, enterprise-grade cloud infrastructure on AWS using Terraform and AWS CloudFormation, ensuring robust and scalable environments for critical applications.

Built and deployed containerized applications with Docker and orchestrated them via EKS (Kubernetes) and Helm charts, streamlining microservices deployment and management.

Automated environment provisioning and configuration management using Ansible playbooks, improving deployment consistency and reducing setup time by 60%.

Implemented end-to-end observability with CloudWatch, Prometheus, Grafana, ELK Stack, and Dynatrace, enabling centralized monitoring, performance tracking, and real-time alerting.

Streamlined deployment workflows by implementing regulatory-compliant automation with Python and Bash scripts alongside Infrastructure-as-Code (Terraform).

Provided 24/7 on-call support and served as a member of the incident response group, resolving critical service functional issues across Linux and AWS (EC2, EKS) environments to maintain high system reliability and availability.

Automated S3 lifecycle policies and storage class management to optimize cloud storage costs and improve DevOps workflows.

Performed regular backup and disaster recovery configurations using AWS services like S3 and RDS snapshots, ensuring high availability and data durability.