Principal Cloud Data Architect
Data platforms
that survive
the audit.
Planning, architecture, and delivery for oil & gas — from source systems, through cloud warehouses, to AI that answers questions, writes summaries, and ships reports.
What I do
One architect,
the whole stack.
AI engineering
LLM and MCP-native tooling, SOX-compliant document-to-ERP pipelines — AI where it removes hours of manual work, not as a buzzword.
Warehousing
Snowflake estates: dimensional models, cross-reference systems, master data, dynamic tables, governance, and cost control.
Multi-cloud
Reference architectures and production estates across Azure, AWS, and GCP — security, budgeting, and administration included.
Oil & gas
Knows what a PROPNUM is. ERP, production, land, midstream, and drilling systems unified into reporting layers that tie out.
Planning & architecture
Reference architectures, costing estimates, deployment scripts, UAT documentation, and delivery leadership end to end.
Featured work
Problems solved,
audits survived.
AI journal entry automation
Bank statements in, SOX-compliant ERP journal entries out. An AI pipeline with deterministic validation and full auditability, deployed across dual Azure tenants for a US oil and gas operator.
Read the case study →
MatchMaker AI
Five source systems, five naming conventions, zero shared keys. An ML matching engine built end to end in Snowflake and Python that turned disagreement into one cross-reference backbone.
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Wellbore schematics app
Drilling data turned into interactive 2D/3D pictures of what's actually downhole — generated from governed Snowflake data, so the schematic never drifts from the source system.
Read the case study →