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I am Uday Kapur, a Data Engineer in Melbourne, Australia. I build data platforms, the foundations that make analytics, automation, and AI adoption possible. I am most useful when the problem is structural: messy pipelines, missing quality gates, platforms that weren't designed for what they're now expected to do.

What I work with

databricks · snowflake · dbt · python · sql · azure · gcp

Most of my work is on data platforms: designing them, rebuilding them, or making them reliable enough that downstream teams can stop worrying about whether the numbers are right.

Where to start reading

What Makes a Data Platform AI-Ready is the best overview of how I think about platform work. If you're more interested in the engineering detail, Why Your dbt Project Will Become Unmaintainable and Test Harnesses for Data Pipelines are closer to the ground.

For sector-specific work, the mining and energy articles cover real integration problems with Maximo, SAP PM, OSIsoft PI, and OPC — the kind of issues that surface when you're building analytics pipelines from industrial asset management systems.

Get in touch

If any of this matches what you need, the best routes are on the contact page.