Data Warehousing & Architecture

We construct highly decoupled, zero-compute-leak storage structures for organizations that require fast, reliable, and scalable analytical access. We specialize in designing modern cloud warehouses using modular architectures that cleanly separate transformation processes from reporting layers.

What We Deliver

• Cloud Warehouse Design — End-to-end architecture for Snowflake, BigQuery, and DuckDB environments, optimized for query performance and cost efficiency.
• Layered Transformation Models — Staging, intermediate, and mart layers built with dbt, ensuring full auditability and zero ambiguity in metric definitions.
• Compute Isolation — Workload isolation strategies that prevent reporting queries from competing with ingestion pipelines, eliminating latency spikes.
• Schema Versioning — Migration-safe schema evolution frameworks that allow your warehouse to absorb new data sources without breaking downstream consumers.

Our Approach

We treat the data warehouse as compiled infrastructure — not a shared scratch pad. Every table is owned, documented, and tested. We do not deliver warehouses that only we can maintain.

Typical Engagement Outcomes

Organizations we work with typically see query latency reductions of 60–90%, significant compute cost reductions through workload isolation, and full internal team ownership within the engagement period.