Description

I design enterprise data architectures that bridge business meaning and technical execution — from EDW and cloud data platforms to semantic layers and knowledge graphs.

Over 13+ years I have worked with major Canadian energy and transportation companies, including 8 years embedded with a leading midstream pipeline operator where I designed and governed their enterprise data warehouse, then contributed to its modernization onto Azure (ADF, Databricks, Delta Lake, Medallion architecture) — ensuring the architectural decisions preserved data integrity, semantic consistency, and business continuity across domains. More recently I delivered a semantic data model for CPKC's Train Control modernization program — a governed conceptual foundation for AI consumption across dispatch, track, and movement domains.

Beyond traditional data architecture, I build OWL ontologies and SHACL validation layers that make business concepts explicit, machine-readable, and AI-ready — replacing brittle Text-to-SQL approaches with governed semantic foundations that LLMs can reason over reliably.

My work sits at the intersection of three things most architects handle separately: deep domain understanding, rigorous data modelling, and forward-looking semantic design.

OWL · RDF · SHACL · SPARQL · GraphDB · Protégé · Azure · Databricks · DBT · Delta Lake · CDMP

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Fluent
Hungarian
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

Mphasis
Data Architect
March 2025 - June 2025 (3 months)
Mississauga, Canada
• • Designed and implemented an event‑driven architecture to support Master Data Management, enabling governed, near‑real‑time propagation of master‑data changes across systems.
• • Established domain‑aligned event schemas and governance rules to standardize how master‑data changes are published, validated, and consumed.
• • Reduced integration complexity by replacing point‑to‑point interfaces with a publish/subscribe pattern, improving scalability and decoupling systems.
MDM Event-driven architecture CDC Solace Snaplogic
Core Competencies
Enterprise Data Architect
October 2024 - February 2025 (4 months)
Calgary, Canada
Enterprise Data
• • Enterprise Data Architecture & Roadmapping
• • Conceptual & Logical Modeling (canonical models, semantic layers)
• • Data Governance, Ownership Models, Quality Rules, Lineage
• • Domain Modeling & Cross‑Domain Harmonization
• • Data Platform Modernization (cloud, lakehouse, integration patterns)
• • MDM Architecture & Event‑Driven Data Flows
• • Stakeholder Alignment Across Global Business & IT
• • Remote Collaboration Across Global Teams
• • Architecture Standards, Patterns, and Change Management
• • Knowledge Graph & Ontology Design (OWL, RDF, Protégé, Turtle, SPARQL, GraphDB)
Protege SPARQL Data Platform Data Modelling OWL
Pembina Pipeline Corporation
Enterprise Data Architect
November 2021 - June 2024 (2 years and 7 months)
Calgary, AB, Canada
• • Architected cloud data platform on Azure (ADF, Databricks, Delta Lake) with Medallion architecture supporting governed analytics at enterprise scale.
• • Led the modernization of the enterprise data warehouse into a governed, scalable cloud architecture.
• • Prototyped an ontology-driven knowledge graph using OWL/RDF, demonstrating how governed semantic models enable AI- and LLM-based reasoning on operational pipeline data without relying on brittle Text-to-SQL approaches.
• • Established enterprise data governance standards, including ownership, quality rules, lineage, and semantic alignment across domains.
• • Designed canonical and domain models for operational, financial, and SaaS data sources.
• • Ensured semantic consistency across business units by aligning terminology, KPIs, and definitions.
• • Defined architecture patterns for ingestion, transformation, and consumption across the enterprise.
• • Designed semantic layer architecture as a governed foundation for AI consumption, ensuring business concepts, KPIs, and relationships were explicitly modeled rather than inferred from raw data.
Microsoft Azure Data Governance DBT Airflow Continuous integration