Best of ETL — July 2025

1. 1
   Article

   Data Engineer Things·46w

   How I Built a Reddit Data Pipeline

   A comprehensive guide to building an end-to-end data pipeline that extracts Reddit data, transforms it using AWS Glue, and stores it in S3 for querying with Athena and Redshift Spectrum. The tutorial covers environment setup with Docker and Airflow, infrastructure provisioning using Terraform, and implementing ETL workflows with proper orchestration. Key components include Reddit API integration, AWS services configuration (S3, Glue, Athena, Redshift), and DAG development for automated data processing.

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2. 2
   Article

   Javarevisited·46w

   Top 8 Udemy Courses to Learn Apache Airflow in 2025

   A curated list of 8 Udemy courses for learning Apache Airflow in 2025, ranging from beginner to advanced levels. The courses cover workflow orchestration, DAG creation, cloud deployment, and production-level implementations. Recommendations include Marc Lamberti's hands-on introduction for beginners and advanced courses covering AWS, Docker, and Kubernetes integration for experienced users.

   16
3. 3
   Article

   Towards Dev·44w

   Industry-Standard Architecture for Data Engineering Projects

   A comprehensive guide to building scalable data engineering architecture using Azure Data Factory and Databricks. The approach involves extracting CSV files from SharePoint, processing them through bronze and silver data layers, and implementing control tables for pipeline management. Key components include parameterized ADF pipelines, progress tracking metadata tables, and automated error handling to support multiple data interfaces efficiently.

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