Ganesh Takoor

About Ganesh Takoor

Senior Technical Support and Cloud Infrastructure Engineer with 12+ years of IT experience, including 6+ years delivering enterprise-level technical support, cloud platform operations, and customer success engineering at Microsoft scale. Trusted technical advisor and escalation point for Fortune 500 customers across Azure cloud infrastructure, SQL and relational database platforms, distributed systems, authentication and identity, and enterprise SaaS integrations. Deep expertise in Microsoft Azure — including AKS, Azure SQL Database, Azure Data Factory, Azure DevOps, Microsoft Fabric, Microsoft Intune, and Microsoft Defender. Strong SQL proficiency with hands-on experience in query optimization, execution plan analysis, ETL/ELT pipelines, and database migration planning. Proficient in Python, PowerShell, and Bash scripting; Terraform and ARM Templates for infrastructure as code; and Kubernetes for containerized workloads. Experienced managing designated enterprise accounts, driving cross-functional engineering collaboration, authoring technical documentation, and representing the voice of the customer to Product and Engineering teams. Consistent record of maintaining 95%+ SLA adherence, reducing MTTR, and delivering measurable customer outcomes across complex technical environments.

Experience

1. Senior Azure Technical Support Engineer

   Microsoft

   Oct 2023 — Present · Redmond, WA, US

   Serve as the final technical escalation point for 20+ designated Fortune 500 enterprise customers, managing complex Azure cloud infrastructure, SQL database, authentication, and distributed systems issues end-to-end from triage through Engineering resolution.•Deliver executive-level technical briefings and proof-of-concept demonstrations to C-suite and technical stakeholders, recommending enterprise architectures, integration strategies, and cloud platform best practices that accelerate customer adoption and drive measurable business outcomes.•Optimize SQL query performance for Azure SQL Database and Azure SQL Managed Instance customers, analyzing execution plans, restructuring indexing strategies, and rewriting inefficient queries — achieving 40–60% performance improvements for enterprise workloads.•Support Azure Data Factory ETL/ELT pipeline implementations and database migration projects, advising on schema conversion, zero-downtime cutover strategies, and regression testing approaches for customers transitioning legacy workloads to Azure cloud database offerings.•Administer Microsoft Fabric environments including workspace management and capacity allocation; manage endpoint security with Microsoft Intune and Microsoft Defender across globally distributed enterprise teams.•Diagnose OAuth 2.0, OIDC, and SSO authentication failures including Azure AD App Registration misconfigurations, token validation errors, and federated credential issues blocking enterprise integrations and deployments.•Deploy and manage Azure infrastructure using ARM Templates, Bicep, and Terraform; support Azure DevOps CI/CD pipelines and implement Azure Well-Architected Framework principles for reliability, security, and cost optimization.•Manage containerized workloads on AKS (Kubernetes), troubleshooting pod failures, persistent volume issues, resource constraints, and service connectivity problems in production distributed environments.•

Education

• Western Kentucky University

  Master of Science - MS, Information Technology