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    <title>Xiaolong Song</title>
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      <title>NL Transport Pulse: an End-to-End Data Pipeline for Dutch Railway Reliability</title>
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      <pubDate>Sun, 24 May 2026 10:00:00 +0200</pubDate>
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      <description>Terraform, Airflow, BigQuery, dbt, and Streamlit answering one question: why is my train late?</description>
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      <title>Building an AI Tool for an AI Skeptic</title>
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      <pubDate>Mon, 06 Apr 2026 10:00:00 +0200</pubDate>
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      <description>A cron pipeline, one caged LLM call, and why boring architecture won over a skeptical scientist.</description>
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      <title>About</title>
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      <description>&lt;img src=&#34;https://xlsong-blog.vercel.app/images/avatar.jpg&#34; alt=&#34;Xiaolong Song&#34; width=&#34;180&#34; style=&#34;border-radius: 50%;&#34; /&gt;
&lt;p&gt;I&amp;rsquo;m Xiaolong Song, a data engineer based in the Netherlands.&lt;/p&gt;
&lt;p&gt;I build data platforms and apply LLMs in production. Recent work includes PySpark pipelines processing 120M+ rows per day, lakehouse architectures on GCP and Microsoft Fabric (Delta Lake, BigQuery, dbt, Airflow), and AI engineering: LLM cost engineering, prompt caching, and coding-agent workflows.&lt;/p&gt;
&lt;p&gt;Before data, I spent four years as an infrastructure engineer, then moved into this field through an MSc in Statistics and Data Science at KU Leuven. That detour shaped how I work: data problems are engineering problems, and they deserve versioning, tests, and honest trade-off analysis.&lt;/p&gt;</description>
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