<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Data-Engineering on Viet Hung Vu</title><link>https://viethungvu1998.github.io/tags/data-engineering/</link><description>Recent content in Data-Engineering on Viet Hung Vu</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 30 May 2026 09:00:00 +1000</lastBuildDate><atom:link href="https://viethungvu1998.github.io/tags/data-engineering/index.xml" rel="self" type="application/rss+xml"/><item><title>Market Data Cleaning Notes</title><link>https://viethungvu1998.github.io/posts/market-data-cleaning/</link><pubDate>Sat, 30 May 2026 09:00:00 +1000</pubDate><guid>https://viethungvu1998.github.io/posts/market-data-cleaning/</guid><description>&lt;p&gt;Market data cleaning is not a boring preprocessing step. It is part of the research problem.&lt;/p&gt;
&lt;p&gt;Bad timestamps, missing prices, duplicated rows, split adjustments, survivorship bias, and inconsistent symbol histories can all change the conclusion of a strategy test.&lt;/p&gt;</description></item></channel></rss>