Data Pipeline Engineering
Reliable batch and incremental ingestion across APIs, databases, files, SFTP and cloud services.
UPOLE helps teams build, modernize and operate dependable data platforms using dbt, SQL, Azure Data Factory and Databricks.
We work on the parts of the data stack where reliability, maintainability and engineering discipline matter most.
Reliable batch and incremental ingestion across APIs, databases, files, SFTP and cloud services.
Maintainable SQL transformations, tests, documentation, incremental models and project structure.
PySpark, Delta Lake, workflows, optimization, migration and production lakehouse engineering.
ADF orchestration, integration, modernization, troubleshooting and reliable production workflows.
Teams that need dependable engineering support, whether they are building internally, scaling a platform, or delivering for their own clients.
For teams that need specialist support, additional delivery capacity or help clearing a technical backlog.
For businesses whose reporting, ingestion or transformation workflows have become fragile, slow or difficult to scale.
For consultancies that need additional dbt, SQL, ADF or Databricks delivery capacity behind a client engagement.
We focus on practical engineering problems that slow teams down, increase operational risk or make a data platform harder to maintain than it should be.
We understand the problem first, make sensible architectural decisions, then deliver with clarity.
Understand the current environment, constraints and business need.
Choose a practical architecture and define a clear delivery plan.
Build, test and document with production reliability in mind.
Help the platform stay reliable, maintainable and easier to operate.
Start with a focused project, add specialist capacity to an existing team, or keep production systems healthy through ongoing support.
For clearly defined engineering outcomes.
Additional specialist capacity for internal teams and consulting partners.
Ongoing help keeping production data workflows reliable.
Tell us what is slowing your team down. We’ll start with the problem, not the technology.