More about our Data Engineering Development Process

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Our Data Engineering Development Process

Identify Data Source

Find where the data is coming from, the frequency the data is updated, and how the data is getting exposed from the vendor.

Identify Pipeline Tool

Find out if are we using an existing tool, are we building an integration from scratch, how are we going to schedule the integration to run, and what are the error handling options available.

Build Integration

Implement the integration based on where the data is coming from and how to land the data into the data warehouse. Apply any needed business logic to clean the data.

Expose Curated Data Set

When we deliver, it’s not just a finished product—it’s a solution you can trust, backed by real care and effort. The data is ready for business users to consume and continue to make data driven business decisions.