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    <title>Data Engineering on Inês Garcia</title>
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    <copyright>© 2026 Inês Garcia</copyright>
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      <title>From Monolith to Modular: Rebuilding a Billing Data Pipeline From Scratch</title>
      <link>https://null-hypothesis.ines-garcia263.workers.dev/posts/modular-billing-pipeline-from-monolith-to-product-per-file/</link>
      <pubDate>Sun, 15 Mar 2026 00:00:00 +0000</pubDate>
      
      <guid>https://null-hypothesis.ines-garcia263.workers.dev/posts/modular-billing-pipeline-from-monolith-to-product-per-file/</guid>
      <description>&lt;p&gt;Earlier this year I shipped a pipeline rewrite I&amp;rsquo;m genuinely proud of. It replaced a 2,200-line SQL monolith — one of those files that everyone&amp;rsquo;s afraid to touch — with a clean layered architecture that handles 14 products, runs daily, and can be extended by adding a handful of config files.&lt;/p&gt;</description>
      
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      <title>What Meta&#39;s Data Warehouse AI Taught Me About Building Analytics Agents</title>
      <link>https://null-hypothesis.ines-garcia263.workers.dev/posts/what-metas-data-warehouse-ai-taught-me/</link>
      <pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate>
      
      <guid>https://null-hypothesis.ines-garcia263.workers.dev/posts/what-metas-data-warehouse-ai-taught-me/</guid>
      <description>&lt;p&gt;In August 2025, Meta published an engineering blog post that changed how I think about analytics agents. It&amp;rsquo;s called &amp;ldquo;Creating AI Agent Solutions for Warehouse Data Access and Security,&amp;rdquo; and it describes a multi-agent system they built for their internal data warehouse.&lt;/p&gt;</description>
      
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