Passionate Azure DevOps Engineer with 8+ years of expertise in cloud-native transformations, AI-powered automation, and cutting-edge infrastructure solutions. Specializing in Microsoft Azure, Kubernetes orchestration, and ML-driven DevOps practices with a proven track record at American Airlines, Accenture, and Microsoft.
Passionate about building intelligent, scalable, and reliable cloud systems
Senior Azure Cloud Infrastructure Engineer with deep expertise in IaaS, PaaS, and SaaS solutions. Currently driving cloud transformation at American Airlines, managing complex Azure environments with high availability, disaster recovery, and business continuity using cutting-edge Microsoft Azure services.
Pioneering AI/ML integration in DevOps workflows with Azure Machine Learning, Databricks, and automated ML pipeline deployments. Leveraging Azure Cognitive Services and custom AI models to optimize infrastructure operations, predictive monitoring, and intelligent automation across enterprise environments.
Expert in Azure Kubernetes Service (AKS) with extensive experience in cluster management, networking, security, and CI/CD integration. Specialized in containerized microservices deployment, auto-scaling, and implementing robust monitoring and alerting frameworks for mission-critical applications.
Terraform, ARM Templates, Bicep, PowerShell Automation
Azure DevOps, GitHub Actions, Jenkins, GitLab CI/CD
Azure Databricks, Data Factory, Power BI, ML Pipelines
Azure AD, Key Vault, Security Center, CyberArk
Cutting-edge tools and technologies I work with
8+ years of transforming cloud infrastructure and DevOps practices
Showcasing innovative cloud solutions and AI-powered automation
Developed an intelligent cost optimization system using Azure ML and custom Python algorithms to automatically right-size resources, resulting in 35% cost reduction across enterprise workloads.
Architected a fully automated multi-region Kubernetes deployment system with GitOps workflows, service mesh integration, and intelligent traffic routing for zero-downtime deployments.
Built an ML-driven monitoring solution that predicts infrastructure failures 2-4 hours in advance, reducing unplanned downtime by 78% using Azure ML and custom time-series models.
Implemented a comprehensive zero-trust security architecture using Azure AD, Conditional Access, and AI-powered threat detection, achieving 99.9% security compliance across all environments.
Designed and deployed a scalable real-time data processing pipeline using Azure Event Hubs, Databricks, and Data Factory, processing 10TB+ daily data with sub-second latency.
Created an AI-enhanced automation platform that intelligently manages deployments, rollbacks, and infrastructure scaling based on ML predictions, improving deployment success rate by 95%.
Industry-recognized expertise in cloud technologies
AZ-900
Foundational knowledge of cloud concepts and Azure services, including core Azure services, security, privacy, compliance, and trust.
AZ-104
Advanced skills in implementing, managing, and monitoring Azure environments, including virtual networks, storage, compute, identity, security, and governance.
AZ-400
Expert-level skills in designing and implementing DevOps practices for version control, compliance, infrastructure as code, configuration management, build, release, and testing.
Exceeding business targets consecutively and setting new benchmarks
Exemplary performance and positive approach towards problem solving
Awarded thrice for extensive support and customer centricity
Team recognition for handling critical events without failure
Ready to collaborate on your next cloud transformation project?