About Gangesh

Technology. Execution. Transformation. Manufacturing.

Gangesh Vivekanandan is a Manufacturing Transformation Consultant focused on helping manufacturers improve asset reliability, operational performance, cost efficiency, workforce capability, and technology adoption.

He brings 17+ years of professional experience across technology operations, enterprise infrastructure, project and program delivery, cross-functional execution, and digital transformation—providing a strong foundation for complex manufacturing transformation and industrial technology initiatives.

Professional journey

2008–2013

Technology Operations

Technical support, network operations, incident response and business-critical systems.

2013–2017

Enterprise Infrastructure

Data center, Linux, virtualization, availability, monitoring and infrastructure operations.

2017–2019

Infrastructure Project Leadership

Project delivery, stakeholder coordination, infrastructure modernization and execution.

2019–2023

Project & Transformation Leadership

Project management, Scrum, cross-functional delivery, risk, change and transformation execution.

2024–Present

Industrial Technology & Manufacturing Transformation

Independent manufacturing consulting alongside industrial technology and implementation leadership.

Career foundation

13 years at Tata Consultancy Services

Roles spanned network operations, data center engineering, Linux administration, VMware and infrastructure project management, and project management / Scrum leadership.

Education & credentials

Bachelor of Engineering — Electrical & Electronics Engineering

KLN College of Engineering, Madurai, India

Professional Scrum Master

Microsoft Certified Azure Fundamentals

VMware Certified Associate – Data Center Virtualization

Red Hat Certified System Administrator

Start with the challenge

Discuss a manufacturing challenge.

Whether you are addressing reliability issues, operating-cost pressure, capability gaps, or evaluating industrial technology, the first step is understanding the problem and determining where improvement can create the most value.

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