Initiated Transformation of Cloud Architecture: Spearheaded the migration of 500+ applications to cloud-based infrastructures, collaborating with cross-functional teams and managing project tasks in JIRA. Achieved a 40% increase in user satisfaction and reduced support queries by 25%..NET Application Migration: Successfully migrated 250+ enterprise .NET applications (C#) to Azure App Services and Azure Kubernetes Service (AKS), optimizing environments for production, staging, and testing. Integrated CI/CD pipelines, resulting in a 30% improvement in delivery times.Infrastructure Automation with Terraform: Demonstrated strong expertise in Terraform, automating the setup and management of Microsoft Azure infrastructures, including network architectures, virtual machines, and applications, driving consistent and efficient deploymentsGovernance & Compliance: Ensured 100% compliance with GDPR, HIPAA, and ISO 27001 standards by automating cloud security and governance using Azure Policy and Terraform, maintaining strict security and compliance across environments.On-Premise to Azure Migration: Led the seamless migration of 98% of critical on-premise workloads to Azure, achieving a 20% performance boost through optimized resource allocation and cloud-native best practices.CI/CD Pipeline Implementation: Enhanced software delivery by 56% and improved software quality through CI/CD pipelines utilizing Infrastructure as Code (IaC) and DevOps tools.Serverless Architecture Design: Engineered serverless solutions with Docker and Kubernetes for 75+ applications, improving system uptime by 74% and customer satisfaction with scalable and resilient architectures.Terraform Adoption & Training: Drove 95% adoption of Terraform within the team, leading training sessions that resulted in a 58% increase in deployment efficiency.

AWS Cloud Infrastructure Development: Designed and implemented AWS infrastructure to support high-availability architectures, including VPCs, Elastic Load Balancers, Application Gateways, Route 53 DNS, RDS, and EC2 instances, adhering to best practices and compliance standards.Terraform Automation in Azure: Automated infrastructure for 120+ virtual machines on Azure and managed 10 EKS clusters handling 8,000 requests/second, achieving a 40% reduction in errors and an 85% improvement in provisioning time.Proactive Monitoring & Incident Response: Enhanced incident response capabilities by developing monitoring systems using CloudWatch and Prometheus, reducing incident response time by 83.7% through symptom-based alerts and increasing system observability.Expanded Observability with ELK Stack & Grafana: Improved system reliability and provided real-time insights into performance bottlenecks by expanding observability infrastructure with ELK Stack and Grafana.Leadership & Mentorship: Led a team of engineers, mentoring junior staff and conducting Terraform and CI/CD training sessions, which increased deployment efficiency by 60% and improved infrastructure processes by 30%, fostering a collaborative knowledge-sharing culture.Resource Optimization for High Traffic: Optimized resource allocation on AWS to maintain seamless performance during 2x traffic spikes, supporting up to 75,000 users without service disruption.High Availability with Automated Failover: Developed failover automation for AWS infrastructure, achieving 99.95% uptime during upgrades and enhancing the user experience.GitHub CI/CD for Mobile Deployments: Developed automated deployment solutions on GitHub CI/CD, achieving 99.95% uptime during mobile application deployments to the App Store and Google Play Store, ensuring stability during upgrades without impacting user experience.

CI/CD Pipeline Implementation: Established CI/CD pipelines for 15 projects using GitHub Actions and Azure DevOps, reducing deployment times from 3 hours to 45 minutes, accelerating release cycles and enhancing team productivity.Enhanced Observability with ELK Stack & Dynatrace: Expanded observability infrastructure with ELK Stack and Dynatrace, significantly improving visibility across cloud environments and reducing Mean Time to Resolution (MTTR) for incidents.Kubernetes for Lifecycle Management: Utilized Kubernetes for application lifecycle management, achieving consistent and scalable deployments with 50% fewer deployment errors.Automated AKS Lifecycle Management: Automated Kubernetes AKS lifecycle management, reducing deployment incidents by 50% and freeing up 20 hours per month for engineering teams.Automated QA Testing in CI/CD: Integrated automated QA testing into CI/CD pipelines, reducing defects per release from 10 to 2 and enhancing overall product stability.