Cloud Infrastructure & DevOps Projects
We deliver end-to-end technology solutions that drive innovation and create lasting business value.
Multi-Cloud Infrastructure Automation with Terraform
Technology Stack: Terraform, AWS (ECS, RDS, S3, CloudFront, Lambda), Azure, Python, GitHub Actions, Ansible
 Designed and implemented Infrastructure as Code (IaC) framework for provisioning and managing cloud resources across AWS and Azure. Created 50+ reusable Terraform modules for compute, storage, networking, and security components including VPC with multi-AZ architecture, ECS Fargate clusters with auto-scaling, RDS with read replicas and encryption, S3 buckets with lifecycle policies, CloudFront distributions with WAF, and Lambda functions with monitoring. Established automated CI/CD pipelines for infrastructure deployment with drift detection and automatic remediation using GitHub Actions. Implemented state management using remote backends with DynamoDB locking and standardized security configurations across 200+ resources. Reduced infrastructure provisioning time from 3 days to 45 minutes, achieved 99.97% infrastructure uptime through automated monitoring, and implemented disaster recovery with cross-region replication. Cost allocation tagging enabled accurate chargeback reporting across teams and projects.
AWS Cloud Migration: On-Premise to Cloud Transformation
Technology Stack: AWS (EC2, RDS, S3, CloudFront, Route53, VPC), Python, Ansible, Docker, Kubernetes (EKS), Terraform
Led end-to-end migration of monolithic on-premise application stack to AWS cloud infrastructure, migrating 15TB of data, 50+ applications, and 30+ databases with zero downtime using phased approach. Implemented hybrid cloud architecture during transition phase with VPN connectivity and rearchitected applications for cloud-native patterns including microservices, containerization, and serverless functions. Migration phases included assessment and planning with TCO analysis, proof of concept validation, database replication using AWS DMS with minimal cutover time, application lift-and-shift followed by optimization, DNS switch with rollback plan, and post-migration optimization with right-sizing and auto-scaling. Achieved 42% reduction in infrastructure costs (year 1), improved uptime from 99.95% to 99.99%, 60% faster deployment cycles, enhanced security posture with AWS-native tools (GuardDuty, Security Hub), and improved disaster recovery with RTO under 4 hours and RPO under 15 minutes.
AWS Environment Provisioning & Management Framework
Technology Stack: Terraform, AWS Organizations, AWS Control Tower, Python, Boto3, CloudFormation, AWS Config
Description: Built automated framework for provisioning complete AWS environments (dev, staging, production) with pre-configured security, networking, and monitoring stacks. Implemented account factory pattern using AWS Organizations and Control Tower for standardized multi-account setup with centralized logging via CloudWatch and AWS Config. Each environment deployment includes VPC with public/private subnets, security groups, IAM roles with least-privilege access, CloudWatch dashboards, Transit Gateway for inter-VPC communication, automated backup strategies with cross-region replication, and cost management with budgets and anomaly detection. Features one-command deployment of complete environment in approximately 20 minutes, environment-specific parameter management using AWS Secrets Manager, automated SSL certificate provisioning with ACM, pre-configured CI/CD pipelines with CodePipeline, and compliance monitoring with AWS Config Rules and Security Hub. Reduced new environment setup from 2 weeks to 1 day and enabled 5 development teams to work independently with standardized infrastructure.
AWS Cost Optimization & FinOps Implementation
Technology Stack: Python, AWS Cost Explorer API, Lambda, CloudWatch, S3, Athena, QuickSight, Terraform
Implemented comprehensive cost optimization strategy across AWS infrastructure, achieving 47% cost reduction over 12 months through automated systems for identifying cost anomalies, rightsizing recommendations, and reservation planning. Key optimizations included EC2 rightsizing based on CloudWatch metrics (30% cost reduction), migration to Fargate for appropriate workloads, spot instance usage for batch processing (70% savings), automated instance scheduling for dev/test resources, S3 Intelligent-Tiering for automatic lifecycle management, EBS volume cleanup and snapshot policies, CloudFront optimization reducing data transfer costs by 40%, and VPC endpoint usage eliminating NAT gateway charges. Implemented automated Reserved Instance and Savings Plan analysis with 3-year commitment planning achieving 50% baseline compute savings. Built custom tools including Python Lambda functions for automated resource tagging compliance, CloudWatch dashboards for cost visualization, unused resource identification scripts, and cost forecasting model with 95% accuracy. Features real-time cost anomaly detection with automated alerts, weekly cost reports with variance analysis, and chargeback implementation with detailed cost allocation enabling accountability across teams.