Semantic layer
Define measures, dimensions, grain and relationships so tools share the same business meaning.
SNOWFLAKE SEMANTIC VIEWS · UNITY CATALOG METRIC VIEWS · APACHE OSSIESOLUTIONS ARCHITECT / TECHNICAL DEPTH
From the problem
to the complete system.
I choose the data and AI approach around the customer’s needs: platforms, traditional ML, neural networks, GenAI and the business context that connects them.
SOLUTION ARCHITECTURE / TECHNICAL DEEP DIVES
The complete system.
The choices behind it.
End-to-end architectures, data contracts,
runtime sequences and
operating patterns.
01 / DATABRICKS + BUSINESS SEMANTICS
Beauty data & AI demo
SAP integration, medallion products, semantic metrics and identity-aware agent tools.
Inspect the full architecture
02 / SNOWFLAKE + AZURE
Retail recommendations
Data integration, inventory-aware decisioning and the retailer application runtime.
Inspect the full architecture
03 / HARMONIZATION + STEWARDSHIP
Global product master
Regional SAP, entity resolution, steward feedback and governed global publishing.
Inspect the full architectureSPECIALIZATION / CONTEXT & SEMANTIC LAYERS
Shared meaning.
Relevant context.
I launched a Context & Semantic Layer offering and built reusable accelerators that turn business definitions, data relationships and policies into a foundation for analytics and AI.
I built a Spanner Graph prototype connecting Merchandising and Customer domains to explore renewal-associated pantry products across demographic cohorts. My showcases and proposals span Snowflake, Databricks and GCP.
Built acceleratorsLed platform demosDesigned enterprise semantics
Context layer
Connect entities and metrics to their sources, derivation, owners and policies. Expose relevant context through bounded agent tools.
SPANNER GRAPH · NEO4J · OKF · MCP
Trusted data→Business definitions+Context relationships→Governed tools & answers
4 pursuitsContext & Semantic Layer offering
~$1.4Moffering pipeline
4 domainsenterprise semantic architecture
Earlier offering snapshot · subset of the GTM team pipeline · Finance, Merchandising, Supply Chain and Store Operations