S VARSHINI

Promoted from Associate Software Engineer to Software Engineer.

[Working as a DevOps & Cloud Engineer for EY Client]

AZURE:

• Effective creation and management of Azure infrastructure using Azure DevOps, ensuring smooth and efficient deployment processes for different applications.
• Spearheaded production deployments of various applications implanting best practices to minimize downtime and seamless transitions.
• Developed robust automation scripts using PowerShell and YAML, significantly reducing manual tasks and enhancing overall operational efficiency.
• Continuously improved CI/CD pipelines, refining strategies to optimize development workflows and project delivery timelines.
• Implemented containerization strategies using Azure Kubernetes services (AKS) and Docker, enabling consistent deployment environments across development, testing, and production.
• Proficiently managed Kubernetes clusters, optimizing resource allocation and scaling to meet application demands effectively.
• Integrated applications on Azure Container Apps (ACA) using Terraform, YAML and PowerShell maintaining less infrastructure and saving cost when running containerized applications.
• Collaborated closely with cross functional teams to troubleshoot and resolve production issues promptly, maintaining high availability of critical applications.

AWS:

• Complete automation of AWS Infrastructure using Terraform scripting including various resources such as VPC, security groups, NAT gateways, EC2, Lambda, RDS, S3, Dynamo DB, ECS, ALB, IAM, CloudWatch, SNS and SQS.
• Proficiently created infra for high-end architecture involving most of the AWS resources including network, server creation, security, database, queues, LB and gateways using Terraform.

Designed and implemented Python algorithms for data analysis and feature enhancement in sensors used for railway health monitoring.