<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Data Engineering on Peter.H's Full-Stack GAME</title><link>https://peter-notes.com/tags/data-engineering/</link><description>Recent content in Data Engineering on Peter.H's Full-Stack GAME</description><image><title>Peter.H's Full-Stack GAME</title><url>https://peter-notes.com/images/og-image.jpg</url><link>https://peter-notes.com/images/og-image.jpg</link></image><generator>Hugo</generator><language>zh-tw</language><lastBuildDate>Tue, 17 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://peter-notes.com/tags/data-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>從 53 種食物到 13,152 種：五國食物資料庫 ETL 管線設計實錄</title><link>https://peter-notes.com/posts/usda-fooddata-etl-pipeline-design/</link><pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate><guid>https://peter-notes.com/posts/usda-fooddata-etl-pipeline-design/</guid><description>從實戰出發，記錄如何設計一條 Python ETL 管線，整合台灣、日本、中國、USDA 四個政府食物營養資料庫，並處理 API 格式不一致、缺少分類欄位等真實踩坑經驗。</description></item></channel></rss>