About Lough on Data
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I don’t write code because I like writing code. I write code because it is the fastest way I have found to solve problems worth solving. The good result is usually a system that makes someone’s job quieter or turns a question that needed a meeting into an answer someone can trust.

I’m Connor Lough, the independent data engineer behind Lough on Data. I help growing teams and early startups build dependable data foundations: the paths data takes into a warehouse, the models and metrics that give it meaning, and the quality and operating practices that keep it useful.

Before working independently, I built and operated data systems in-house. That experience taught me that a good data platform is not just a collection of tools. It needs clear ownership, understandable failure modes, and enough documentation and controls for the team that inherits it.

How I work
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I work remotely with teams worldwide through focused projects and advisory engagements. We start with the problem: what is unreliable, who relies on it, and what outcome matters. If there is a fit, we define a clear next step rather than treating an engagement as open-ended staff augmentation.

I prefer portable, auditable, open-source-friendly systems and practical operating habits over architecture for its own sake.

Beyond the stack
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I’m based in Arizona. Outside of data work, I hunt, which is how I came to care about geospatial data, public-land boundaries, and the strange politics of who owns what dirt. That interest keeps showing up in the questions I choose to explore publicly.