<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blob-Storage on Derrek</title><link>https://www.meath.cloud/tags/blob-storage/</link><description>Recent content in Blob-Storage on Derrek</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 05 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.meath.cloud/tags/blob-storage/index.xml" rel="self" type="application/rss+xml"/><item><title>Data Engineering on Azure: Building My First ETL Pipeline</title><link>https://www.meath.cloud/posts/data-engineering-etl-pipeline/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://www.meath.cloud/posts/data-engineering-etl-pipeline/</guid><description>&lt;h1 id="data-engineering-on-azure-building-my-first-etl-pipeline">Data Engineering on Azure: Building My First ETL Pipeline&lt;/h1>
&lt;p>Day 4 of the cloud engineering transition. Today I crossed into data engineering territory — spinning up Azure Storage and Data Factory infrastructure with Bicep, then writing a Python ETL pipeline that pulls live weather data and lands it in Azure Blob Storage.&lt;/p>
&lt;p>It&amp;rsquo;s a simple pipeline by design, but it covers the full ETL pattern that every data engineering project is built on.&lt;/p></description></item></channel></rss>