Fractional Data Engineer
← All Case Studies

Case Study 05

Cost-Effective Data Lakehouse for a $78M Nonprofit — $12K/Year

Nonprofit · 221 employees · $78.5M revenue · No prior data infrastructure

Results at a Glance

$12K/yr

Total infrastructure cost

Maintainable

Pipelines post-handoff

Full DataOps

CI/CD + versioning

The Problem

The organization needed to become data-driven but had no data infrastructure in place and a tight budget. They needed something that could scale with the organization without becoming a cost center or a maintenance burden.

What We Built

We designed and implemented a Data Lakehouse architecture using a combination of AWS-native and open-source tools — keeping costs minimal while delivering enterprise-grade reliability. The solution included DataOps practices with code versioning and CI/CD so the team could manage changes safely over time.

Results

  • Fully operational data infrastructure running at just $12,000/year
  • Easily maintainable pipelines the internal team can own post-handoff
  • DataOps practices in place: code versioning, automated deployments, reproducible pipelines
  • Organization positioned to be data-driven without a large ongoing cost

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 Glue · Amazon Athena · AWS S3 · Apache Iceberg · Python · SQL · Terraform · GitHub Actions

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 →