In this advanced quest, you will delve into the intricacies of building efficient ETL (Extract, Transform, Load) pipelines using modern data engineering practices. We'll explore various data sources, transformation techniques, and loading strategies aimed at optimizing performance and scalability. You will learn how to handle various data formats, implement error handling, manage real-time data streams, and utilize cloud-based services for data storage and processing. By the end of this quest, you will have hands-on experience creating robust ETL pipelines that can handle large volumes of data while maintaining data integrity and consistency. Prepare for a comprehensive journey that will elevate your data engineering skills to the next level.
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