Mahelaka Khan

Results-driven Azure DevOps Engineer with over 4 years of experience in architecting scalable cloud solutions, CI/CD pipelines, and Infrastructure as Code (IaC) across enterprise Azure environments. Proven expertise in designing Azure Landing Zones and Hub-Spoke architectures, enabling secure, governed, and highly available cloud platforms at scale. Skilled in implementing end-to-end DevOps automation strategies, reducing deployment failures by 35% and accelerating release cycles by up to 60%.

Specialized in Infrastructure as Code using Terraform, Bicep, and ARM, driving 50% reduction in provisioning time and eliminating configuration drift. Strong background in containerization and orchestration (Docker, Kubernetes, AKS), delivering highly resilient and scalable application platforms with 99.9% uptime. Experienced in DevSecOps, governance, and cost optimization, achieving 100% policy compliance and reducing cloud expenditure by 30% through strategic resource management.

Azure Infrastructure Platform Engineer (DevOps) at Accenture (2026-01 – Present)

• Designed and implemented enterprise-scale Azure Landing Zone (ALZ) using Bicep-based IaC, reducing provisioning timelines from 3 days to under 4 hours while eliminating 90% of manual configuration errors.
• Established a centralized governance framework, leveraging Management Groups, Azure Policies, and standardized tagging across 150+ subscriptions, ensuring 100% compliance with enterprise security standards.
• Drove cloud cost optimization initiatives, achieving 30% reduction (~$180K annual savings) through Azure Cost Management insights, rightsizing strategies, and automated resource lifecycle management.
• Led automation of infrastructure deployments using PowerShell and Azure CLI integrated with Git-based workflow, reducing deployment cycle time by 60% and enabling trunk-based development practices.

MLOps DevOps Engineer at Hindustan Unilever (HUL) (2025-01 – 2025-12)

• Engineered end-to-end MLOps CI/CD pipelines on Azure Machine Learning, automating model training, validation, registration, and deployment to AKS, reducing release cycles from 2 weeks to 2 days.
• Containerized and deployed machine learning application using Docker on AKS, ensuring 99.9% uptime and supporting high-throughput workloads of multiple daily predictions.
• Designed and implemented multi-environment deployment strategies (DEV/QA/PROD) with automated rollback mechanisms, reducing production incidents by 45%.
• Provided technical leadership during critical production releases, maintaining 99.5% deployment success rate across 50+ releases.

DevOps Engineer at Corteva Agriscience (2024-01 – 2024-12)

• Architected and optimized CI/CD pipelines for Azure Data Factory (ADF) and Databricks, enabling zero-touch deployments across 5 environments and reducing release timelines by 70%.
• Developed reusable and scalable Bicep-based IaC modules, standardizing infrastructure provisioning and eliminating 80% of configuration drift.
• Diagnosed and resolved 100+ complex deployment and integration issues, collaborating with cross-functional teams to ensure platform stability and continuity.
• Authored comprehensive operational runbooks and documentation, reducing MTTR by 40% and improving incident response efficiency.

Azure Tenant & DevOps Administrator at Netzero (2023-01 – 2023-12)

• Designed and deployed highly available Azure infrastructure (VNets, Subnets, NSGs, Load Balancers, VPN Gateways), ensuring 99.95% uptime for business-critical applications.
• Implemented Infrastructure as Code using Terraform with remote state management and locking, managing 200+ resources across 8 environments with zero manual intervention.
• Built reusable Terraform modules for networking, compute, and security, reducing deployment time by 65% while enforcing standardized security baselines.
• Integrated security scanning and compliance validation into Azure DevOps pipelines using Azure Policies, achieving 100% compliance and reducing vulnerabilities by 50%.
• Automated operational workflow using Python, Bash, and PowerShell, eliminating 15+ hours/week of manual effort and improving team productivity by 35%.
• Mentored and upskilled 4 junior engineers on IaC, DevOps workflow, and security best practices, accelerating team readiness by 6 months.

DevOps Engineer at Digital Twin Platform (2022-03 – 2022-12)

• Designed and implemented enterprise DevOps strategies using Azure DevOps, reducing software delivery cycle time by 50% and increasing deployment frequency from monthly to weekly.
• Built and optimized CI/CD pipelines using YAML, integrating automated testing, security checks, and approval gates, achieving a 95% deployment success rate.
• Established end-to-end observability frameworks using Azure Monitor, Log Analytics, and Application Insights, reducing MTTD from 2 hours to under 10 minutes.
• Conducted root cause analysis on 30+ production incidents, implementing long-term fixes that reduced recurring issues by 60% and enhanced platform stability.
• Optimized cloud resource utilization and performance, reducing monthly costs by $25K while maintaining SLA adherence.
• Collaborated in Agile/Scrum environments, contributing to sprint planning, stand-ups, and iterative delivery of infrastructure solutions.

Bachelor of Engineering in Computer Science & Engineering – Rashtrasant Tukadoji Maharaj Nagpur University (2020)