Vn M.

About Vn M.

I\'m Manaswi, a Cloud Engineer specializing in AWS, GCP, and Azure with hands-on expertise…

Experience

1. Aws Cloud Engineer Via Infocloud Enviro (Aws Cloud, Python, Ci Cd, Kubernetes, Docker, Terraform)

   Hewlett Packard Enterprise

   Feb 2024 — Present

   For AWS Cloud, I implemented clusters, VPC peering, and service account IAM roles. I deployed Azure Cloud workloads using Bicep and ARM templates, managing resources across Azure VMs, Azure Blob Storage, and Azure Kubernetes Service (AKS). Deployed a serverless chatbot using AWS Lex, CloudFormation, and GitHub Actions for automated CI/CD across environments. Integrated Lambda, DynamoDB, and CloudWatch for secure, event-driven processing with fine-grained IAM controls. Engineered Traffic anomaly detection and response infrastructure for iFit cybersecurity using EC2 traffic mirroring and centralized log routing to Splunk. Automated rule updates in Imperva WAF using Python scripts and AWS Systems Manager, reducing breach response time by 67%. Security practices involved AWS IAM boundaries, MFA enforcement, GuardDuty for threat detection, Macie for data leak prevention, Inspector for image scanning, and SCPs across AWS Organizations. I used AWS Config and AWS Security Hub for real-time compliance tracking, integrating alerting to SNS and PagerDuty.I integrated Terraform Cloud and GitHub Actions with reusable workflow templates for zero-downtime deployments across staging, UAT, and prod. AWS CloudTrail logs were centralized with S3 + Athena for access analysis. Implemented resource tagging standards, budget alerts, and lifecycle policies for AWS cost control.Architected a secure, multi-account AWS landing zone leveraging Organizations, IAM, VPC, and S3, cutting service onboarding time for new engineering teams by 40%. Designed and deployed ECS-based micro services using ECR-hosted Docker images, ALB routing, and auto-scaling policies, handling 3× peak traffic surges with 99.99% uptime during nationwide restaurant ordering spikes. Optimized AWS spend with EC2 and RDS right-sizing, S3 lifecycle policies, and cost anomaly detection, saving $10K+ annually across production environments.