Fractional Data Engineer
← All Case Studies

Case Study 04

Replacing a Legacy ETL Tool with a Cloud Data Warehouse — Without Breaking the Budget

SaaS / Co-working platform · ~151 employees · Funded · $10M revenue

Results at a Glance

1

Centralized data warehouse

Multi-source

All stakeholder data unified

Cost-effective

Cloud-native, no license fees

The Problem

The company was running Pentaho as their ETL tool — an on-premise, legacy solution that was expensive to maintain, hard to extend, and increasingly out of step with how their team wanted to work. Data was siloed across multiple sources owned by different stakeholders, and there was no central place to bring it all together. They needed a modern, cloud-based replacement that wouldn't require a massive infrastructure budget or a team of engineers to keep running.

What We Built

We designed and validated a new cloud-native data architecture, then built a reusable pipeline template so new data sources could be onboarded consistently. We integrated data from multiple stakeholders into a centralized Data Warehouse — replacing Pentaho entirely with an AWS-based stack that the team could own and extend themselves.

Results

  • Pentaho fully replaced with a modern, cloud-native data warehouse
  • Data from multiple internal stakeholders centralized in one place for the first time
  • Reusable pipeline template makes adding new sources straightforward
  • Significantly lower maintenance burden — no more on-premise infrastructure

What's this costing your company?

Run our 2-minute calculator and get a personalized cost breakdown.

Calculate Your Data Costs →
Tech:Apache Airflow · AWS Lambda · AWS S3 · PostgreSQL · Python · SQL · GitHub

Ready to be the next case study?

Book a free 1-hour audit call and we'll tell you exactly what we'd build and why.

Book Your Free Audit Call →