Learn Google Cloud - Building a Multicloud ETL Pipeline: S3 to BigQuery with Google Cloud Data Fusion

In this tutorial, we’ll show you how to build a Multicloud ETL pipeline using Google Cloud Data Fusion to load data from Amazon S3 to BigQuery, with built-in transformations along the way. This process allows you to seamlessly move data between clouds while transforming it to fit your needs for analytics. We’ll guide you step-by-step through setting up a pipeline that: Extracts data from Amazon S3 (AWS cloud) Transforms the data using Data Fusion's no-code/low-code environment Loads the transformed data into Google BigQuery for analysis 👉 What you’ll learn in this video: How to create a Multicloud ETL pipeline with Google Cloud Data Fusion Configuring your pipeline to extract data from S3 and load it into BigQuery Performing data transformations in the pipeline using Data Fusion How to monitor and manage the pipeline in Google Cloud Console By the end of this video, you'll be able to build and execute an ETL pipeline that moves data from S3 to BigQuery, transforming it along the way to meet your analytical requirements. Playlist Learn Google Cloud in 2025 https://youtube.com/playlist?list=PLLrA_pU9-Gz2OnBoICkewd9-Fc9Mi0nm7&si=8kkB3ct5wDHCMkoi Data Engineering Hands-on Projects https://www.youtube.com/playlist?list=PLLrA_pU9-Gz2DaQDcY5g9aYczmipBQ_Ek Looking to get in touch? Drop me a line at [email protected] Linkedin https://www.linkedin.com/in/vishal-bulbule/ Medium Blog https://medium.com/@VishalBulbule Github Source Code https://github.com/vishal-bulbule 💬 Join Our WhatsApp Community for Discussions and Updates: https://chat.whatsapp.com/I7omzvh5BZrILaBCPL8pPq