Automate Table Creation & Data Load from S3 to Snowflake using Snowpark | End-to-End Project
In this video, you’ll learn how to automate data loading from Amazon S3 into Snowflake using Snowpark (Python) — no manual table creation needed!
We’ll build a dynamic data pipeline that:
✅ Reads CSV files from multiple S3 folders (CUSTOMER, REGION, SUPPLIER, NATION)
✅ Infers schema automatically using INFER_SCHEMA()
✅ Creates target tables dynamically if they don’t exist
✅ Loads data into Snowflake tables using COPY INTO
✅ Logs file load history and errors into a tracking table
✅ Automates execution using Snowflake Tasks with error notifications
🔧 Steps Covered:
Amazon S3,IAM,SNS setup
Storage & Notification Integration Setup
Snowflake Snowpark (Python)
Dynamic Table Creation using USING TEMPLATE
Snowflake Task Scheduling
Error Logging and Notifications
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