AnandKumar Vedantham
Software Architect - UST
Bolingbrook, Illinois, United States
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Anand Kumar Vedantham is a seasoned Technology Architect and thought leader with over 18 years of experience in enterprise systems. He specializes in designing large-scale cloud data platforms, AI-powered solutions, and IoT frameworks that drive secure, scalable, and future-ready innovation.
For the past 8 years, Anand has been working with International Motors through UST, where he has led key initiatives in Azure architecture, edge computing, and security-by-design. His expertise bridges data engineering, cloud-native platforms, and AI integration—enabling resilient digital transformation at scale.
Area of Expertise
Topics
Security-First Data Architectures: Embedding Zero-Trust into Microsoft Fabric and Azure
Data is only as valuable as it is secure. With Microsoft Fabric and Azure driving modern data architectures, security must be designed from the ground up — not bolted on later. This session explores practical approaches to embedding Zero-Trust principles into your data platform. We’ll cover managed identities, RBAC, data masking, network isolation, and auditing strategies across SQL, Synapse, and Fabric. Attendees will learn how to architect resilient, compliant, and enterprise-ready data solutions that don’t compromise agility.
DataOps in Practice: Automating Secure Pipelines with Azure DevOps & Bicep
Manual deployments and inconsistent environments continue to be a major challenge for data teams. In this session, we’ll explore how to apply DataOps principles using Azure DevOps, Infrastructure-as-Code (Bicep), and GitHub Actions to create secure, automated, and repeatable data pipelines. We’ll walk through real-world examples of deploying Azure SQL, Synapse, and Microsoft Fabric environments, highlighting how to integrate policy-driven governance and security controls from the start. By the end, attendees will see how automation can reduce MTTR, improve deployment frequency, and increase confidence in enterprise-scale data platforms.
Learning Objectives:
Understand how DataOps principles apply to modern Microsoft Data Platform projects.
Learn how to use Bicep templates and CI/CD pipelines to automate deployments.
Discover strategies for embedding security and governance into automated pipelines.
Architecting Security-First Enterprise Systems: From Design to DevSecOps at Scale
As enterprises adopt cloud-native architectures, IoT ecosystems, and AI-driven platforms, security must transition from a reactive afterthought to an integrated, foundational principle. This presentation introduces a practical “security-by-design” framework that embeds security into every stage of the software lifecycle — from initial architectural blueprints to DevSecOps pipelines and continuous deployment.
Drawing on real-world enterprise digital transformation initiatives across various industries, including automotive, smart manufacturing, and large-scale cloud data platforms, this session showcases how early threat modeling, secure coding practices, and AI-enhanced automation can reduce vulnerabilities, enhance operational resilience, and accelerate secure delivery cycles.
Attendees will learn actionable strategies to proactively integrate security requirements, develop secure software architectures, and operationalize DevSecOps with measurable business and technical outcomes.
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