Using reusable skills, medallion patterns and shared definitions to deliver consistent, production-ready pipelines faster.
by Trent Lezer and James VanGordon
Daikin Applied Americas (DAA) manufactures and services commercial HVAC systems across North America. That means managing large volumes of operational, manufacturing and service data across systems, from equipment telemetry and supply chain data to field service records.
The data team supports analytics and AI use cases across engineering, operations and customer service, all of which depend on reliable, well-structured pipelines.
As those demands grew, so did the pressure on the data team, including more pipelines, more use cases and more coordination across teams. To address this, the team defined a more structured operating model for how pipelines are designed, built and governed, and used Databricks Genie Code to accelerate execution within that model.
