Vinodhini Ramakrishnan

I am an AWS DevOps Engineer with hands-on experience in cloud services, automation, and data analysis. Over the years, I’ve developed a deep understanding of AWS cloud technologies, DevOps tools, and how to integrate them for efficient infrastructure management. As my previous role as AWS DevOps Engineer, where I gained practical experience in automating cloud infrastructure and handling version control.

I also contributed to data analysis projects which gave me a well-rounded view of both cloud and data-oriented solutions. These roles have sharpened my problem-solving skills and strengthened my ability to work on large-scale infrastructure projects.

With a strong foundation in IT, I specialize in building Continuous Integration and Continuous Delivery (CI/CD) pipelines, automating complex deployments, and leveraging cloud services to create scalable and reliable solutions.

I thrive on transforming manual processes into efficient automated workflows, using tools like Terraform, Docker, Kubernetes, Jenkins, and Ansible. My goal is to help organizations enhance productivity by delivering high-quality, mission-critical software with speed and precision.

🚀 Key Expertise:

☁️ Cloud Platforms: AWS

🔧 Automation & IaC: Terraform, Ansible

⚙️ CI/CD: Jenkin, Argo CD

🐳 Containerization: Docker, Kubernetes

📊 Monitoring & Logging: Prometheus, Grafana, CloudWatch

🔍 Version Control & SCM: Git, GIT HUB

💻 Scripting & Automation: Shell Scripting, Python

I’m committed to continuous improvement, and I'm always eager to learn and explore new technologies that drive innovation in the DevOps space.

• With a strong background in cloud infrastructure, automation, and CI/CD pipelines, combined with my analytical expertise from two years as a Data Analyst, I am confident in my ability to drive efficiency and innovation within your DevOps team.
• With four years of experience as a DevOps Engineer, I have worked extensively with AWS services (EC2, S3, Lambda, RDS, CloudFormation, and IAM), enabling businesses to deploy and scale applications seamlessly. 
• My expertise includes designing highly available cloud architectures, implementing CI/CD pipelines using Jenkins, GitHub Actions, and Terraform, and managing containerized workloads with Docker and Kubernetes. 
• Additionally, my background as a Data Analyst has enhanced my ability to monitor system performance, optimise cloud resources, and implement cost-effective solutions.
• At Glibware Soft Solutions, I played a key role in automating infrastructure deployment, reducing provisioning time by 40% through Infrastructure as Code (IaC) practices. I also spearheaded a cloud migration project, improving system reliability and cutting operational costs. My experience in monitoring and security (CloudWatch, Prometheus, Grafana, and AWS Security Hub) ensures robust cloud governance and compliance

Bachelor of Engineering in Computer Science