Real projects. Real results. No full-time hire required.
We work with SaaS and tech-enabled companies — typically 10 to 200 people, post-Series A or profitable bootstrapped — that have one data person in-house but no senior data engineer owning the architecture.
They have data. They have a stack. What they don't have is someone experienced enough to build it right — without the cost or commitment of a full-time senior hire. That's where we come in.
Health tech company · ~50-150 employees · One analyst, zero data infrastructure
0 → 1
Data stack built from scratch
100%
Data sources documented
Future-proof
Architecture ready to scale
Tech: dbt · PostgreSQL · Data Architecture · Documentation · Data Governance · Team Training
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Health tech company · Growing team · Analyst buried in repetitive report requests
3
Workshop sessions delivered
Self-serve
Analytics culture built
↓ 80%
Ad-hoc report requests
Tech: Metabase · Workshop Design · Analytics Training · Self-Serve Analytics
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SaaS / Co-working platform · ~151 employees · Funded · $10M revenue
Real-time
Usage pattern recognition
Scalable
Pipeline Architecture
Multi-source
Data ingestion
Tech: AWS SQS · AWS SNS · AWS Lambda · AWS Glue · PostgreSQL · Python · Twilio · Segment · Mini-Batch
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SaaS / Co-working platform · ~151 employees · Funded · $10M revenue
1
Centralized data warehouse
Multi-source
All stakeholder data unified
Cost-effective
Cloud-native, no license fees
Tech: Apache Airflow · AWS Lambda · AWS S3 · PostgreSQL · Python · SQL · GitHub
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Nonprofit · 221 employees · $78.5M revenue · No prior data infrastructure
$12K/yr
Total infrastructure cost
Maintainable
Pipelines post-handoff
Full DataOps
CI/CD + versioning
Tech: Apache Airflow · AWS Glue · Amazon Athena · AWS S3 · Apache Iceberg · Python · SQL · Terraform · GitHub Actions
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Book a free 1-hour audit call and we'll tell you exactly what we'd build and why.
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