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Lough on Data
Lough on Data

Reliable data systems, built for the team that runs them.
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Lough on Data helps growing data teams and early startups make their pipelines, models, and operating practices more dependable. I work remotely worldwide on focused projects and advisory engagements—not as an open-ended replacement for a full-time hire.

Tell me what’s brittle →

Focused engagements

Four ways I can help

  1. 01

    Platform Assessment

    Best for
    Data is unreliable but the team cannot see where the system or ownership is breaking down.
    You leave with
    A system map and ranked priorities for the next fixes.
  2. 02

    Pipeline Buildout

    Best for
    Critical data arrives through manual loads, brittle scripts, or silently failing jobs.
    You leave with
    A working source-to-warehouse pipeline and operating runbook.
  3. 03

    Warehouse & Modeling

    Best for
    Teams debate numbers because definitions, joins, or trusted metrics are unclear.
    You leave with
    A trusted model layer with inspectable agreed definitions.
  4. 04

    Data Reliability

    Best for
    Problems reach downstream people before anyone detects, diagnoses, or owns them.
    You leave with
    Quality checks and a response runbook.

How engagements work
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I take on focused projects and advisory engagements with a clear problem, scope, and next step.

Start by sending the problem and context: what is unreliable, who relies on it, and what outcome you need. We’ll discuss whether there is a fit, then define a focused scope if there is.

The technical approach is principles-first: portable, auditable, open-source-friendly systems; clear data ownership; and quality controls that match the actual operating risk. Tools follow the problem, not the other way around.

Tell me what’s brittle →