Ashwin Kambli

About Ashwin Kambli

I am an Enterprise Architect specializing in Data, Analytics, and AI/ML platforms, currently with Tech Mahindra, working closely with Mazda to help shape and operationalize their enterprise Data & AI vision.My focus is on building scalable, governed, and cloud-native data foundations that enable organizations to democratize data, accelerate analytics, and safely deploy AI/ML solutions across business units—without sacrificing security, compliance, or architectural integrity.I work at the intersection of:Enterprise Architecture & StrategyData Platforms (Lakehouse, Fabric, Databricks)AI/ML Enablement & MLOpsCloud Governance, Security & CompliancePlatform-first, reusable architecturesWhat I do best:Design enterprise-scale data and AI platforms that support analytics, GenAI, and ML workloadsDefine reference architectures, guardrails, and governance models for data democratizationEnable AI adoption across teams through standardized ingestion, cataloging, quality, and security patternsBridge business strategy and engineering execution—from roadmap to productionMentor teams and drive architecture consistency across a complex ecosystemI am particularly passionate about making AI usable, trusted, and scalable—not just experimental—by anchoring it on strong data foundations and enterprise-grade platforms.

Experience

1. Enterprise Architect

   Tech Mahindra

   Dec 2025 — Present · IN, US

   Leading enterprise Data & AI architecture initiatives for a global automotive client (Mazda)Defining the target-state data platform architecture to support analytics, reporting, and AI/ML use casesEstablishing data democratization frameworks with strong governance, security, and compliance controlsDesigning enterprise ingestion patterns (batch, streaming, CDC) aligned with lakehouse and medallion architecturesAdvising on Azure Fabric, Databricks, Purview, and AI platform adoptionCreating reference architectures, standards, and blueprints to reduce fragmentation and accelerate deliveryCollaborating with business, data engineering, analytics, and AI teams to translate requirements into scalable solutionsMentoring architects and engineers on cloud-native and data-centric design principles

Education

• University of Houston

  Master of Science, Computer Science

  2000 — 2003

• Sindhi High School

  High School

  1985 — 1992

Skills

• Microsoft Sql Server
• Soa
• Sql
• Asp.net
• Agile Methodologies
• Wcf
• Design Patterns
• Web Services
• Android Development
• Sdlc
• Xml
• Javascript
• Angular Js and Angular 2.0
• Databases
• C#
• .net