An Azure→Snowflake re-platform with dbt pipelines, integrations, modeling, and data-quality controls — cloud spend cut to a third, monthly platform cost down 71% ($250 → $71.92), pipelines 6× faster, and the client’s own engineer left fully self-sufficient.
Read the caseAs warehouses pivot to ML and LLM workloads, the core modeling pattern becomes an AI-enablement decision — and the evidence favors a normalized, atomic, integrated 3NF foundation.
ReadMeaning, structure, storage — why the logical layer is the indispensable bridge that carries business semantics into engineerable, technology-neutral structure.
ReadTreat every metric calculation like the load-bearing function it is: write the expected number first, assert it against mocked rows, then keep adding scenarios.
ReadFramed as a contest, “3NF versus dimensional for AI” is a false binary — the honest answer is a normalized core feeding a dimensional serving layer.
ReadTop-25 U.S. regional bank · 18-month engagement.
Enterprise SaaS · Migration & Warehousing.
Top-15 U.S. accounting firm · Strategy & Engineering.
Global marketing platform · Integration & Quality.
Enterprise IT services · Governance & Strategy.
Life & annuity carrier · Quality & Governance.