Data Groundwork
Case Studies

Data Engineering Case Studies

Real companies. Real problems. Here's how we solved them.

Case Study 01

Building a dbt Data Foundation from Scratch: A Case Study for Startups Without a Data Team

Health tech · ~50 employees · No data person, just a CEO, AI, and a lot of manual checks. Now 11 people rely on the same infrastructure.

0 → 1dbt data foundation built from scratch
Case Study 02

Building a Self-Serve Analytics Culture with Metabase: A Case Study for Startups Without a Data Team

Health tech · ~50 employees · 11 non-technical users now making decisions from data, without asking anyone for help

0 → 1Metabase built and adopted from scratch
Case Study 03

Building an AWS Event Tracking Pipeline from Scratch: A SaaS Case Study

Flexible office marketplace SaaS · ~150 employees · Fast-growing, investment-backed · Full Pentaho to AWS migration

2 weeksto get the pipeline live
Case Study 04

Replacing a Legacy ETL Tool with AWS: A SaaS Migration Case Study

Flexible office marketplace SaaS · ~150 employees · Fast-growing, investment-backed · Full Pentaho to AWS migration

6 monthsto fully replace Pentaho with a modern AWS stack
Case Study 05

Building a Data Lakehouse from Scratch on AWS: A Case Study for Complex Organizations

Multinational organization · ~500 employees · $32M revenue · No prior data infrastructure

40% under budgetdata platform delivered

Want the how-to behind these builds? Read the data engineering blog.

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