Projects
Selected case studies
A look at how we have helped leading companies build data platforms and production machine learning. Details are shared with client permission; confidential specifics are omitted.
Migrating big-data pipelines from on-premise to Azure Databricks
Re-platformed high-volume engineering data pipelines from a legacy on-premise system onto Azure Databricks, using a CDC-driven medallion lakehouse and a shared, versioned Spark library to power an engineering dashboard.
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Customer-360 insights for the accommodation room-selection funnel
Built the data pipeline behind a customer-insights dashboard, aggregating room-selection funnel events into analytics tables on customer engagement across desktop and mobile web — plus the data models that standardize how travel products are represented.
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A governed serving layer for global marketing & sales steering
Delivered the data backend for a global steering-and-reporting platform: governed serving views and fact tables on Databricks that business apps consume for account mapping, sales pipeline, opportunities, orders, and market modeling across business units.
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Migrating dairy-herd models from .NET to Python on Databricks
Re-implemented Lely Horizon’s cow-modelling system from C#/.NET into Python on Databricks — the models that score and rank individual cows on production, health, reproduction, and robot-milking efficiency to drive on-farm advice.
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