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    <title>DEV Community: Naveen Ayalla</title>
    <description>The latest articles on DEV Community by Naveen Ayalla (@naveenayalla1cs50).</description>
    <link>https://dev.to/naveenayalla1cs50</link>
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      <title>DEV Community: Naveen Ayalla</title>
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      <title>Building a PySpark and AWS Glue ETL Pipeline for Search Keyword Revenue Analysis</title>
      <dc:creator>Naveen Ayalla</dc:creator>
      <pubDate>Sun, 31 May 2026 23:10:33 +0000</pubDate>
      <link>https://dev.to/naveenayalla1cs50/building-a-pyspark-and-aws-glue-etl-pipeline-for-search-keyword-revenue-analysis-6gp</link>
      <guid>https://dev.to/naveenayalla1cs50/building-a-pyspark-and-aws-glue-etl-pipeline-for-search-keyword-revenue-analysis-6gp</guid>
      <description>&lt;p&gt;I published a public data engineering project that demonstrates a cloud-based ETL pipeline for analyzing web analytics search keyword revenue.&lt;/p&gt;

&lt;p&gt;The project uses PySpark, AWS Glue, Amazon S3, and Terraform to process hit-level web analytics data, extract external search engine domains and keywords, parse revenue, and generate a sorted reporting output.&lt;/p&gt;

&lt;p&gt;Key concepts covered:&lt;/p&gt;

&lt;p&gt;Batch ETL pipeline design&lt;br&gt;
PySpark transformations&lt;br&gt;
AWS Glue job configuration&lt;br&gt;
S3 input and output workflow&lt;br&gt;
Revenue aggregation logic&lt;br&gt;
Terraform infrastructure examples&lt;/p&gt;

&lt;p&gt;This is a generic open-source portfolio project and does not include proprietary or company-provided data.&lt;/p&gt;

&lt;p&gt;GitHub:  &lt;a href="https://github.com/naveenayalla1-CS50/search-keyword-performance-revenue" rel="noopener noreferrer"&gt;https://github.com/naveenayalla1-CS50/search-keyword-performance-revenue&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Feedback from data engineers and cloud data practitioners is welcome.&lt;/p&gt;

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      <category>aws</category>
      <category>dataengineering</category>
      <category>showdev</category>
      <category>terraform</category>
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