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Cloud data warehouse on Snowflake/BigQuery with dbt

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CategoryHandmade
Listing period12 daysuntil 23.11.2026
Posted25.08.2026
Views782 in 14 days

About the service

I build cloud data warehouses your analysts can trust without reservation. I work on Snowflake or BigQuery, making dbt the core of all logic. I take you from scattered sources to a single reliable warehouse: design ingestion, describe transformations, expose a clean semantic layer, set up orchestration, and connect it all to your BI. You get not a pile of one-off scripts, but a versioned, tested, documented platform that a new engineer understands on day one.

My approach is intentionally calm and predictable. Raw data lands in staging without surprises, then passes through layers of dbt models where each business rule lives in one place. I write tests for what must never break, freshness checks for what must stay current, and build transparent lineage: every number traces back to its source. I can join you on a project from scratch or rescue a warehouse nobody dares touch anymore: I fix scope and timeline upfront, reconcile numbers with old logic, and hand everything over with docs so your team owns the platform.

What usually goes into the work:
— Ingestion from databases, APIs, and files into Snowflake or BigQuery
— dbt model layers: staging, marts, and semantic layer
— Data tests, freshness checks, and column documentation
— Orchestration, alerting, and clean BI connections

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