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    <title>DEV Community: Dinesh</title>
    <description>The latest articles on DEV Community by Dinesh (@grokker_f9bf83d79cb9beb6f).</description>
    <link>https://dev.to/grokker_f9bf83d79cb9beb6f</link>
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      <title>DEV Community: Dinesh</title>
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      <title>Stock Marketing Analytics</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Mon, 31 Mar 2025 22:13:28 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/stock-marketing-analytics-21cg</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/stock-marketing-analytics-21cg</guid>
      <description>&lt;p&gt;just built a complete #StockMarket analytics platform on #GCP! Real-time pipeline with #Kafka streaming, historical data processing via #Spark on Dataproc, transformations using #dbt orchestrated by #Airflow. built dashboards in Looker Studio track market trends .#dezoomcamp&lt;/p&gt;

</description>
      <category>gcp</category>
      <category>kafka</category>
      <category>spark</category>
      <category>analytics</category>
    </item>
    <item>
      <title>Real-Time Data Processing with PyFlink and Redpanda</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Mon, 17 Mar 2025 16:25:51 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/real-time-data-processing-with-pyflink-and-redpanda-410a</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/real-time-data-processing-with-pyflink-and-redpanda-410a</guid>
      <description>&lt;p&gt;Just leveled up my #DataEngineering skills by building real-time data pipelines with PyFlink and Redpanda! 🚀 Discovered how session windows can reveal hidden patterns in NYC taxi data that batch processing would miss. #StreamingData #PyFlink #DEZOOMCAMP&lt;/p&gt;

</description>
      <category>dezoomcamp</category>
      <category>dataengineering</category>
    </item>
    <item>
      <title>Diving into bigdata</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Thu, 06 Mar 2025 17:59:00 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/diving-into-bigdata-4n76</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/diving-into-bigdata-4n76</guid>
      <description>&lt;p&gt;Just wrapped up Module 5 of #DEZOOMCAMP! Learned to work with Apache Spark for batch processing NYC taxi data. Analyzed over 125K taxi trips, Excited to dive into streaming data next! #DataEngineering #BigData&lt;/p&gt;

</description>
      <category>bigdata</category>
      <category>dataengineering</category>
    </item>
    <item>
      <title>Data Transformation</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Wed, 26 Feb 2025 15:37:41 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/data-transformation-54j8</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/data-transformation-54j8</guid>
      <description>&lt;p&gt;#DEZoomcamp! Learnt dbt fundamentals - from model resolution to complex data lineage. Built pipelines analyzing 160M+ NYC taxi rides with advanced SQL and visualized them in dataloader. dbtcloud was cool , the ide and the lineage was nice #dbt #BigQuery &lt;/p&gt;

</description>
      <category>dataengineering</category>
      <category>sql</category>
      <category>dbt</category>
      <category>bigdata</category>
    </item>
    <item>
      <title>ETL with DLTHUB</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Sun, 16 Feb 2025 17:16:56 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/etl-with-dlthub-3i25</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/etl-with-dlthub-3i25</guid>
      <description>&lt;p&gt;Just wrapped up the Data Engineering Zoomcamp workshop on dlt! Learned how to build data pipelines the easy way - extracted NYC Taxi data using dlt's REST client, handled pagination like a pro, and loaded it all into DuckDB. Love how dlt makes ETL feel like a breeze!&lt;/p&gt;

</description>
      <category>dezoomcamp</category>
      <category>dataengineering</category>
    </item>
    <item>
      <title>Module 3 of DataTalks club Data Engg bootcamp.</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Wed, 12 Feb 2025 20:39:02 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/module-3-of-datatalks-club-data-engg-bootcamp-3h23</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/module-3-of-datatalks-club-data-engg-bootcamp-3h23</guid>
      <description>&lt;p&gt;📊 Just wrapped up Module 3 of #DEZOOMCAMP! Dove deep into BigQuery and learned:&lt;/p&gt;

&lt;p&gt;External vs Materialized tables&lt;br&gt;
Smart partitioning &amp;amp; clustering strategies&lt;br&gt;
Column-based storage benefits&lt;br&gt;
Query cost optimization techniques&lt;br&gt;
Love how BQ handles those NYC taxi records efficiently! 🚕✨&lt;/p&gt;

</description>
      <category>dezoomcamp</category>
      <category>data</category>
      <category>dataengineering</category>
    </item>
    <item>
      <title>DataEngineering Bootcamp Module 2</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Wed, 05 Feb 2025 22:44:24 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/dataengineering-bootcamp-module-2-1pke</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/dataengineering-bootcamp-module-2-1pke</guid>
      <description>&lt;p&gt;🔄 Module 2 of #DEZOOMCAMP: Diving into workflow orchestration with Kestra! Successfully processed NYC taxi data using GCP &amp;amp; BigQuery. Learned about task scheduling, data pipelines, and proper ETL practices. Cool stuff: automated data loading from CSV to BigQuery and implemented timezone-aware scheduling! 🚖💻 #DataEngineering&lt;/p&gt;

</description>
      <category>dezoomcamp</category>
      <category>data</category>
      <category>dataengineering</category>
    </item>
    <item>
      <title>Data Engg Bootcamp module 1</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Mon, 27 Jan 2025 17:54:35 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/dezoomcamp-1fm6</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/dezoomcamp-1fm6</guid>
      <description>&lt;p&gt;🚀 Just completed Module 1 of #DEZoomcamp! Built a data pipeline analyzing NYC taxi data using Docker, PostgreSQL, and Terraform. Check out my solutions here: &lt;a href="https://github.com/Deathslayer89/DTC_dataEngg/tree/main/module1-hw" rel="noopener noreferrer"&gt;https://github.com/Deathslayer89/DTC_dataEngg/tree/main/module1-hw&lt;/a&gt;&lt;/p&gt;

</description>
      <category>dataengineering</category>
      <category>dezoomcamp</category>
    </item>
    <item>
      <title>🚀 Just completed Module 1 of #DEZoomcamp! Built a data pipeline analyzing NYC taxi data using Docker, PostgreSQL, and Terraform. Check out my solutions here: https://github.com/Deathslayer89/DTC_dataEngg/tree/main/module1-hw #DataEngineering #Docker #SQL</title>
      <dc:creator>Dinesh</dc:creator>
      <pubDate>Mon, 27 Jan 2025 17:53:57 +0000</pubDate>
      <link>https://dev.to/grokker_f9bf83d79cb9beb6f/just-completed-module-1-of-dezoomcamp-built-a-data-pipeline-analyzing-nyc-taxi-data-using-21cl</link>
      <guid>https://dev.to/grokker_f9bf83d79cb9beb6f/just-completed-module-1-of-dezoomcamp-built-a-data-pipeline-analyzing-nyc-taxi-data-using-21cl</guid>
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