Lakehouse Platform

Databricks Integration

Lakehouse for marketplace + ad analytics

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Overview

About Databricks

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

Capabilities

What we build with Databricks

🚰

Source Pipelines

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

🏗️

Schema Design

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

🔄

dbt Models

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

📊

BI Layer

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

Use Cases

How clients use our Databricks work

Marketplace data lake

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

Unified P&L by SKU

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

FAQ

Common questions about
Databricks 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.

Databricks integration

Ready to integrate
Databricks?

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

Book a Free Call hello@esellerbridge.com