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    <title>Data-Engineering on Lough on Data</title>
    <link>https://loughondata.com/tags/data-engineering/</link>
    <description>Recent content in Data-Engineering on Lough on Data</description>
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    <managingEditor>connor@loughondata.com (Connor Lough)</managingEditor>
    <webMaster>connor@loughondata.com (Connor Lough)</webMaster>
    <copyright>© 2026 Connor Lough</copyright>
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      <title>Local Data Stack</title>
      <link>https://loughondata.com/posts/local-data-stack-build/</link>
      <pubDate>Sat, 02 May 2026 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/local-data-stack-build/</guid>
      <description>The follow-up to Part 1. I built the stack — a small&#xA;dlt pipeline that watches a hand-picked list of outdoor, geospatial,&#xA;and forestry companies for new roles, writes Parquet to Cloudflare R2,&#xA;and surfaces everything in a MotherDuck Dive I check on my phone.&#xA;Here&amp;rsquo;s how it works, what changed from the original plan, and what&#xA;I deliberately left naive.</description>
      
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    <item>
      <title>Databox</title>
      <link>https://loughondata.com/projects/databox/</link>
      <pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/projects/databox/</guid>
      <description>A single-operator data platform that ingests eBird, NOAA, and USGS into one queryable warehouse — built to answer whether species distributions shift with same-day weather and streamflow anomalies.</description>
      
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      <title>Local Data Stack Planning</title>
      <link>https://loughondata.com/posts/local-data-stack-planning/</link>
      <pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/local-data-stack-planning/</guid>
      <description>On a dog-walk conversation with Claude that surfaced a role I would have otherwise missed — and the small dlt → S3 → MotherDuck pipeline I&amp;rsquo;m building so it doesn&amp;rsquo;t happen again.</description>
      
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    <item>
      <title>Never Make Another dbt model .yml</title>
      <link>https://loughondata.com/posts/never-make-another-yml/</link>
      <pubDate>Sat, 10 Feb 2024 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/never-make-another-yml/</guid>
      <description>A GitHub Action that runs dbt-osmosis + dbt2looker on every push, then commits the regenerated .yml and .lookml files back to your repo.</description>
      
    </item>
    
    <item>
      <title>dlt Demo: Bird Hotspot Finder, pt. II</title>
      <link>https://loughondata.com/posts/bird-finder-via-dlt-ii/</link>
      <pubDate>Thu, 15 Jun 2023 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/bird-finder-via-dlt-ii/</guid>
      <description>Extending the dlt pipeline: stage load packages to S3, persist schema changes back to DuckDB, and ping Slack on schema drift.</description>
      
    </item>
    
    <item>
      <title>dlt Demo: Bird Hotspot Finder, pt. I</title>
      <link>https://loughondata.com/posts/bird-finder-via-dlt-i/</link>
      <pubDate>Thu, 01 Jun 2023 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/bird-finder-via-dlt-i/</guid>
      <description>Loading eBird API data into DuckDB with dlt, then querying it in DBeaver. A first look at dlt as a Meltano/Airbyte alternative.</description>
      
    </item>
    
    <item>
      <title>Creating a Mermaid Diagram for Your dbt Project Using graph.gpickle</title>
      <link>https://loughondata.com/posts/dbt-and-mermaid-diagramming/</link>
      <pubDate>Sat, 15 Apr 2023 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/dbt-and-mermaid-diagramming/</guid>
      <description>Turn a dbt project&amp;rsquo;s compiled graph.gpickle into a Mermaid diagram so you can actually see what your models depend on.</description>
      
    </item>
    
    <item>
      <title>Creating a Data Pipeline Between PostgreSQL and Snowflake with Meltano</title>
      <link>https://loughondata.com/posts/meltano-getting-started/</link>
      <pubDate>Wed, 05 Apr 2023 00:00:00 +0000</pubDate>
      <author>connor@loughondata.com (Connor Lough)</author>
      <guid>https://loughondata.com/posts/meltano-getting-started/</guid>
      <description>Standing up a Meltano pipeline from a PostgreSQL source to a Snowflake destination — init, plugins, env config, run.</description>
      
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