Data Integration

Your data lives in different systems. We build pipelines that bring it all together in Foundry.

The reality of enterprise data

Your important data isn't in one place. It's in Oracle databases, SQL Server instances, Snowflake warehouses, Excel spreadsheets, SharePoint folders, and that one Access database someone built fifteen years ago that somehow still runs critical processes.

Foundry only delivers value if it has access to this data. Building reliable pipelines that pull from all these sources, transform the data appropriately, and keep everything in sync isn't trivial. It's the foundation everything else depends on.

What we build

Data source connections

We configure Foundry to connect to your systems—database connections, API integrations, file imports, whatever you have. This includes handling authentication, network access, and firewall configurations.

Transform logic

Raw data rarely maps directly to what you need. We write Python or SQL transforms that clean data, join datasets, calculate derived fields, and structure everything to match your ontology.

Good transforms are maintainable. We write clear code with comments explaining business logic. When something breaks, your team can figure out why.

Incremental processing

Processing millions of rows every time something changes is slow and wasteful. We design incremental pipelines that only process new or modified data. This requires careful logic but makes builds run in minutes instead of hours.

Data quality monitoring

Pipelines fail. Data changes in unexpected ways. We build validation checks that catch problems—missing expected files, data outside normal ranges, broken relationships. When something's wrong, you find out immediately instead of discovering bad data weeks later.

Common data sources

  • Oracle, SQL Server, PostgreSQL, MySQL
  • Snowflake, Redshift, BigQuery
  • REST APIs and SOAP services
  • Excel files, CSV exports
  • SharePoint document libraries
  • S3 buckets and file shares
  • Kafka streams
  • Whatever you have—we'll figure it out

What you get

Pipelines that run reliably and handle the data volume your organization generates. Documentation covering what connects where, how transforms work, and what to check when something breaks.

If your team is taking over maintenance, knowledge transfer so they understand the architecture and can make changes without breaking things.

Start a project

Tell us what data sources you need to connect and we'll propose an integration approach.

Get in touch

What we'll need

Documentation on your data sources—connection details, schemas, sample data. Access to systems (read-only is fine) to test connections.

Someone from your team who understands the data and can answer questions about business logic and validation rules.