Google Cloud

BigQuery Integration

Serverless data warehouse with Looker integration

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Overview

About BigQuery

We build custom BigQuery integrations via the Google Cloud. Whether you need a standalone connector or a unified data layer that ties BigQuery into your wider data warehouse, we deliver a production-grade integration with monitoring, error handling, and full documentation.

Capabilities

What we build with BigQuery

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Source Pipelines

Custom ingestion pipelines from any API or file source into BigQuery — incremental, idempotent, retry-safe.

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Schema Design

Properly modeled raw / staging / marts layers with consistent naming and slowly-changing dimensions.

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dbt Models

Production-ready dbt projects for eCommerce-specific transformations on BigQuery.

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BI Layer

Looker, Tableau, Mode, or Hex semantic layers tied directly to BigQuery.

Use Cases

How clients use our BigQuery work

Marketplace data lake

Centralize Amazon, marketplace, ad, and CRM data in BigQuery for unified analytics.

Unified P&L by SKU

True unit economics combining fees, returns, ad spend, and COGS in one BigQuery mart.

FAQ

Common questions about
BigQuery integration

Simple connectors typically take 3–5 weeks. More complex multi-region or workflow-heavy builds run 6–10 weeks. We scope every project on the discovery call.

Yes. APIs change — we offer monthly retainers to keep your integration current and handle new feature requirements as they come up.

BigQuery integration

Ready to integrate
BigQuery?

Book a free 30-minute discovery call. We'll scope your BigQuery integration and give you a clear plan with no obligation.

Book a Free Call hello@esellerbridge.com