Mendelsohn C is a Staff Deployment Architect focused on agentic AI with a decade of experience designing and deploying enterprise-scale data platforms for Global 500 firms and tech unicorns. He blends solutions-selling rigor (MEDPICC) with deep hands-on expertise in lakehouse and data warehouse architectures, batch and streaming engineering, and formal data modeling approaches like Star Schema and Data Vault. Prior roles at Databricks and Alation showcase his ability to translate technical thought leadership into practical migrations and analytics workflows, including published guidance on dbt optimization and Teradata-to-Databricks transitions. A former analytics practitioner who rose through consulting and engineering roles, he pairs client-facing presales acumen with implementation credibility—an attribute that helps align technical strategy to measurable business outcomes. Outside work he’s a committed sports-analytics nerd inspired by Moneyball and can often be found exploring third-wave coffee shops while reading behavioral and history writers.
10 years of coding experience
6 years of employment as a software developer
Data Science & Predictive Analytics, Data Science & Predictive Analytics at Toronto Metropolitan University
Contributions:10 commits, 9 pushes, 1 branch in 1 year 1 month
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Mendelsohn C - Staff Deployment Architect, Agentic AI at Alation