Dharanisri R

AWS Cloud and DevOps professional with expertise in cloud infrastructure, CI/CD pipeline implementation, and automation. Skilled in AWS services including EC2, S3, VPC, IAM, and Route 53. Proficient in DevOps tools such as Git, Jenkins, Docker, and Kubernetes for containerization and orchestration.

Experienced in Infrastructure as Code using Terraform and configuration management with Ansible. Hands-on in monitoring and logging using AWS CloudWatch and AppDynamics. Strong scripting capabilities in Shell and Python for automation and system operations.

Focused on building scalable, reliable, and secure cloud environments.

Cloud & DevOps Engineer at FinEdge Labs - FinTech (Present)

Project: AWS Cloud DevOps Implementation

• Designed and implemented scalable AWS cloud infrastructure using VPC, subnets, route tables, and security groups for secure application deployment.
• Provisioned infrastructure using Terraform and AWS CloudFormation with modular and reusable code, enabling automated environment setup.
• Developed and implemented end-to-end CI/CD pipelines using Jenkins integrated with GitHub and Docker for continuous integration and delivery.
• Built and managed containerized applications using Docker and deployed them on Amazon ECS and Kubernetes for orchestration.
• Implemented deployment strategies such as rolling updates and blue-green deployments to ensure zero downtime.
• Configured Application Load Balancer (ALB) and auto-scaling for efficient traffic distribution and high availability.
• Managed secure access using IAM roles, policies, and AWS Certificate Manager following least privilege principles.
• Automated server provisioning and configuration using Ansible playbooks integrated with AWS services.
• Implemented monitoring and logging using AWS CloudWatch, including dashboards, logs, and alerting mechanisms.
• Developed automation scripts using Shell and Python for deployment, monitoring, and operational tasks.
• Designed high availability architecture using multi-AZ deployments to ensure system reliability.
• Performed incident troubleshooting, root cause analysis, and performance optimization using monitoring tools.
• Optimized AWS infrastructure for cost efficiency and performance improvement.
• Implemented Infrastructure as Code (IaC) best practices using Terraform modules and remote state management (S3 + DynamoDB locking) to ensure secure and consistent infrastructure deployments.
• Integrated end-to-end monitoring and alerting workflows using CloudWatch, CI/CD pipelines, and automated rollback mechanisms to improve system reliability and minimize downtime.

Cloud & DevOps Engineer at Cartify Labs - E-Commerce

Project: Azure Cloud DevOps Implementation

• Designed and implemented scalable Azure cloud infrastructure using Virtual Networks (VNet), subnets, and Network Security Groups (NSG) for secure application deployment.
• Provisioned Azure resources using Terraform and Azure Resource Manager (ARM templates) for automated infrastructure setup.
• Built and maintained CI/CD pipelines using Jenkins integrated with Github for continuous integration and deployment.
• Containerized applications using Docker and deployed them on Azure Kubernetes Service (AKS) for orchestration.
• Managed container images using Azure Container Registry (ACR) for secure image storage.
• Implemented deployment strategies such as rolling updates to ensure minimal downtime.
• Configured Azure Load Balancer and Application Gateway for efficient traffic distribution.
• Managed secure access using Azure IAM (RBAC) and Key Vault for secrets and credentials.
• Automated server configuration and deployment using Ansible playbooks.
• Implemented monitoring and logging using Azure Monitor and Log Analytics for performance tracking.
• Developed automation scripts using Shell scripting and Python for operational tasks.
• Designed high availability architecture using availability zones for reliability.
• Performed troubleshooting, root cause analysis, and performance optimization using monitoring tools.
• Integrated CI/CD pipelines with automated testing, monitoring, and rollback strategies to improve deployment stability and reduce downtime.

B.TECH in Information Technology – Sri Shanmugha College of Engineering and Technology, PulliPalayam (2021 – 2025)

HSC – Krishnaveni Government Girls Higher Secondary School, PalliPalayam

SSLC – Krishnaveni Government Girls Higher Secondary School, PalliPalayam