Client Case Studies
Real projects. Real results. No full-time hire required.
Who We Work With
Most of our clients come to us at the same moment: the business is growing, the data questions are getting harder, and whoever's been holding things together is running out of runway. They need someone who's built this before - not a junior hire learning on the job, and not a $300K full-time engineer for a problem that doesn't need one yet.
We work with SaaS and tech-enabled companies between 10 and 200 people who are at exactly that moment.
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 12 people rely on the same infrastructure.
0 → 1
dbt data foundation built from scratch
10 hrs/week
given back to the CEO by eliminating manual data validation
Automated
data quality checks running continuously
Tech: dbt · dbt Cloud (free tier) · PostgreSQL · Data Modelling · dbt Tests · Calculated Columns · dbt Documentation
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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 → 1
Metabase built and adopted from scratch
11
non-technical users actively using self-serve analytics
4 departments
onboarded: marketing, sales, operations, C-level
Tech: Metabase · Metabase (basic plan) · dbt · PostgreSQL · Workshop Design · Notion · Data Governance · Self-Serve Analytics
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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 weeks
to get the pipeline live
5,000+ events/day
processed through the pipeline
Pentaho to AWS
legacy infrastructure modernised
Tech: AWS Lambda · AWS S3 · AWS Glue · PostgreSQL · Segment.io · Data Modelling · Data Partitioning · Cloud Infrastructure
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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 months
to fully replace Pentaho with a modern AWS stack
4 sources integrated
PostgreSQL, Pipefy, HubSpot, Segment.io
30+ pipelines
running in Airflow
Tech: Apache Airflow · AWS Lambda · AWS S3 · PostgreSQL · Pipefy · HubSpot · Segment.io · Python · SQL · Parquet · Data Modelling
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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 budget
data platform delivered
130+ pipelines
running in Airflow across all sources
72 hours
from development to production for new pipelines
Tech: Apache Spark · Apache Airflow · Apache Iceberg · AWS · Terraform · Docker · PostgreSQL · Salesforce · Freshdesk · Google Analytics · Metabase · Python · SQL
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