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    <title>Data Engineering on Green Thinking</title>
    <link>https://blog.gilbert.cloud/tags/data-engineering/</link>
    <description>Recent content in Data Engineering on Green Thinking</description>
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    <lastBuildDate>Mon, 16 Mar 2026 00:00:00 +0000</lastBuildDate>
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      <title>A dbt Pipeline from DynamoDB to Redshift</title>
      <link>https://blog.gilbert.cloud/post/dbt-dynamodb-to-redshift-pipeline/</link>
      <pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;&lt;strong&gt;Migrating from Tableau to dbt on Redshift: What Worked, What Didn&amp;rsquo;t, and What I Wish I&amp;rsquo;d Known&lt;/strong&gt;&lt;/p&gt;&#xA;&lt;p&gt;&lt;em&gt;Getting data out of DynamoDB, through Redshift, and into something your business can actually use — without losing your mind in the process.&lt;/em&gt;&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;p&gt;I spent the last couple of years building out a data engineering function from scratch at a small SaaS company. We had a Tableau-based reporting pipeline that involved manual runs, fragile prep flows, and a mounting sense of dread every time someone asked for a new report. I replaced it with dbt, Redshift, and Fivetran, with self-hosted Metabase for business-intelligence, and with a detour through several tools that didn&amp;rsquo;t work out. Here&amp;rsquo;s what I learned.&lt;/p&gt;</description>
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