The problem
Reports that take hours, pipelines breaking in production, inconsistent data between systems — these are the symptoms of a poorly designed architecture. Iowa fixes this at the root.
What we deliver
- Dimensional modeling and modern data warehouse
- ELT pipelines with dbt, Airflow or Prefect
- Well-defined data layers (raw, staging, marts)
- Quality tests and automatic documentation
- Integration with multiple sources (ERP, CRM, APIs, files)
Technologies
Frequently asked questions
What is Analytics Engineering?+
It's the discipline that bridges data engineering and analysis: it turns raw data into reliable, tested and documented models (with tools like dbt) so BI and business teams can decide on a single, consistent source of truth.
Which technologies does Iowa use in data engineering projects?+
We work with the major clouds (GCP, AWS and Azure), data warehouses like Snowflake and BigQuery, transformation with dbt, orchestration with Airflow or Prefect, and Python and SQL.
How long does a data architecture project take?+
It depends on the scope and the sources involved. We start with an assessment to prioritize what delivers the most value and ship in short cycles, rather than one long project.
My company is small. Is data engineering worth it?+
Yes. A well-structured foundation early on avoids costly rework later. We size the solution to your stage, without unnecessary complexity.
Other services