Data pipelines (ETL and ELT)
Scheduled pipelines that collect, clean and load your data on their own, orchestrated with Airflow and tested on every change.
Services
Data engineering, pipelines and dashboards
Your data is spread across spreadsheets, systems and exports. We bring it into one place, keep it updated automatically and put it in dashboards people actually use.
What we build
From scattered data to one reliable source
Data platforms
One well-modelled store for your data, in layers: raw files kept untouched so any mistake can be replayed, clean tables ready for analysis.
Dashboards and reporting
Interactive dashboards with maps and charts, in Tableau or built into a web app, fed directly by your pipelines.
Large volumes and streams
Large datasets processed with Spark, and streams handled with Kafka when the data cannot wait.
How we work
Five steps, from your requirements to a system you own
Every project runs the same way: brief, specification, implementation, deployment and handover. At the end you get the code, the documentation and the runbook, with no licence fees.
Proof
Data platforms we have already built
ProductWaze CargoPort congestion forecast for Chile, trained on about twenty million customs records. 91.5% accuracy in 2026.See the product
PortfolioFlight data serviceA data platform on a thousand-odd raw files of aircraft tracking data: Airflow, dbt, medallion layers and CI.See it in the portfolio
Technology
What we build with
Built with
- Python
- SQL
- Airflow
- dbt
- DuckDB
- Spark
- Kafka
- PostgreSQL
- MongoDB
- Parquet
- Docker
- AWS
- Tableau
Questions
Frequently asked questions
We only have spreadsheets. Is that enough?
Yes. Many projects start from spreadsheets and exports. The pipeline turns them into a clean source that updates itself.
Which tools do you use?
Open, standard tools: Python, SQL, Airflow, dbt, Spark and PostgreSQL, on AWS or your own servers. Nothing that locks you in.
How much data can it handle?
The Waze Cargo pipeline works on about twenty million customs records. Larger volumes run on Spark.
Who owns the data?
You do, always. It stays in your accounts, and at handover you get the code and the runbook to run it without us.
Get in touch
Tell us what you need
Describe the problem and imagine the solution you want. We’ll come back with the right answer and the best product for you.