Data Engineering for E-commerce Brands
Your numbers live in Shopify, Amazon, Meta, Google Ads, your 3PL and a dozen spreadsheets, and they never agree. We build the data pipelines and warehouse that give your team one trusted view of the business.
Challenges We Solve for E-commerce and DTC brands
Reports that never match
Every tool shows different revenue, ROAS and margin numbers.
Hours lost to spreadsheets
Analysts export and stitch CSVs instead of finding insights.
No foundation for AI
Forecasting and personalization need clean, joined data first.
What's Included
A dedicated team that designs, builds and ships production-ready systems for your business, then supports you after launch. Built for E-commerce and DTC brands and ready for production from day one.
Automated pipelines from Shopify, marketplaces, ad platforms and 3PLs- A modern cloud data warehouse with tested models
- True profit and contribution-margin reporting per order and SKU
- Customer lifetime value and cohort datasets
- Dashboards your whole team can self-serve
Results You Can Expect
- 1source of truth for revenue and margin
- 15 hrssaved per analyst every week
- Dailyrefreshed, tested data
Frequently Asked Questions
Which platforms can you connect?
Shopify, WooCommerce, Amazon, Meta and Google Ads, Klaviyo, GA4, ERPs and most 3PLs, plus any tool with an API or export.
Do we need an in-house data team?
No. We build and document everything so a single analyst, or none, can run it. We also offer ongoing support.
Which data warehouse do you use?
We recommend BigQuery, Snowflake or Postgres based on your size and budget, and model the data with dbt.
Related Solutions
Talk to Our Data engineering Team
Tell us about your goals. We reply within one business day with next steps and a free 30-minute consultation.
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