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About Me

Who I Am

I Help Enterprises Build
Customer Data Systems That Actually Work

I am Anil Kalia — an independent Solutions Architect and Customer Data consultant with 15 years of hands-on enterprise experience across CRM architecture, master data management, AI data strategy, data governance, and enterprise data integration.

I have worked across MarTech, SaaS, financial services, retail, and EdTech sectors — delivering complex CRM ecosystems, MDM frameworks, ETL pipelines, and AI data infrastructure across platforms including HubSpot, Salesforce, SAP CX, Adobe AEM, Reltio, Informatica, Databricks, and Snowflake.

View My Services
01
Architecture First

Every engagement starts with design, not configuration. I architect solutions that are built to last — scalable, governed, and integrated with the systems around them — not just functional at go-live.

02
Delivery Grounded

I have spent 15 years actually building enterprise data systems — not just advising on them. That hands-on delivery experience means my recommendations are always realistic, implementable, and accountable.

03
Business Outcome Focused

Great data architecture exists to serve business goals — better customer decisions, stronger revenue, lower operational cost. Every system I design is evaluated against the business outcomes it needs to deliver

Why Work With Me

One Consulting Partner
Who Sees the Whole Picture.

That full-stack perspective is rare in the consulting market and genuinely valuable to the enterprises I work with. It means fewer integration surprises, fewer governance gaps, and fewer expensive redesigns when a component that was designed in isolation fails to connect cleanly with the systems around it.

CRM Architecture (HubSpot, Salesforce, SAP CX) 96%
Master Data Management 93%
Data Governance & Compliance 94%
Cloud Data Architecture (Azure, AWS, GCP) 87%
INDUSTRIES SERVED
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PROJECTS DONE
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CORE CONSULTING
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GLORIOUS YEARS
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CRM architecture, AI data strategy, and MDM

    My blog

    Latest Insights & Research

    Practical, experience-driven thinking on enterprise CRM architecture, AI in customer data, MDM strategy, and data governance — written for practitioners and decision-makers alike.

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