Bruin Academy
Tutorial module
Shopify Data Pipeline
Build an analytics stack for your Shopify store - pick your warehouse, payment processor, marketing platform, and more, then follow a step-by-step guide to build a full pipeline with an AI analyst.
Build an analytics pipeline for your Shopify store. Pull data from Shopify and the tools around it, transform it into business reports, and set up an AI data analyst - all customized to your stack. No data engineering experience required.
What
- Data ingestion from Shopify, payment processors, marketing platforms, and ad tools
- Staging layer that cleans and joins data across sources
- Business reports (revenue, cohorts, product performance, marketing ROI) and an AI data analyst
How
- Pick your warehouse, payment processor, marketing platform, and ads tool below
- Bruin CLI handles extraction, transformation, and orchestration
- Claude Code with Bruin MCP helps build and test the pipeline; Bruin Cloud handles deployment
Pick your stack, customize the tutorial
Before you start
- Git installed
- Bruin CLI installed
- A data warehouse account (ClickHouse, BigQuery, or Snowflake)
- A Shopify store with API credentials
- API credentials for your selected payment, marketing, ads, and analytics tools
- Claude Code installed (this tutorial uses Claude Code throughout, but you can adapt the prompts for Cursor or Codex)
Tutorial steps
- 1Set Up Your Project & Warehouse8 min
- 2Ingest Your Ecommerce Data15 min
- 3Clean & Join Your Data15 min
- 4Build Ecommerce Reports15 min
- 5Set Up Your AI Data Analyst10 min
- 6Build Ecommerce Dashboards5 min
Resources
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