Architecting the schema layer.

DATA ARCHITECTURE · ENTERPRISE INTEGRATION · CLOUD I turn complex data
into systems that run.

7+ years building enterprise-grade data platforms for Fortune 500 and global retail clients — across Centric Planning, ERP, EMR, and analytics systems. End-to-end, not just the build.

Enterprise clients include
CARHARTT/ ARDENE/ JOE FRESH/ ASHLEY STEWART/ J.CREW/ GENERAL MILLS
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YEARS DELIVERING ENTERPRISE DATA PLATFORMS
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ENTERPRISE CLIENTS ACROSS RETAIL, ANALYTICS & HEALTHCARE
Multi-TB
TRANSACTIONAL DATA PROCESSED ACROSS HYBRID CLOUD STACKS
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INDUSTRIES — RETAIL, ANALYTICS & HEALTHCARE

I architect the layer most people never see.
Then I make sure it runs.

Source → Staging → Transform → Warehouse → Target System
SOURCEERP / EMR / POS STAGINGSchema Layer TRANSFORMMERGE / T-SQL WAREHOUSEAzure / GCP TARGETPlanning / ERP / Analytics
How I Work

One thread, start to finish.

Every implementation I lead moves through the same four phases — and I'm accountable for all of them, not just the build.

01

Discover & Spec

Define requirements, reconcile legacy data sources, and align PMO, CTOs, and vendor partners before a line of architecture is committed.

02

Architect

Produce end-to-end solution blueprints — source-to-target mappings, transformation logic, data quality controls, and governance frameworks.

03

Build & Migrate

Design and deliver data-mesh-ready pipelines across Azure Data Factory, GCP, and SQL Server — processing multi-TB transactional data at scale.

04

Validate & Go-Live

Run validation reporting, support cutover, align to delivery timelines, and hand the system to the business team clean.

Selected Work

10+ enterprise clients. One standard.

Across Centric Planning, demand forecasting analytics, and healthcare EMR integration — all owned end-to-end.

View All Work →