Loading data from Snowflake to Airtable can be achieved through three methods: manual CSV download and upload, setting up a semi-automated workflow using APIs, and automating data syncs with reverse ETL. The first method involves exporting data from Snowflake using SQL queries and manually uploading it to Airtable, which is quick but involves manual actions. The second method uses the Snowflake and Airtable APIs to create an automated pipeline, allowing for more efficient data synchronization. The third method leverages reverse ETL tools like Census to automatically pull fresh data from Snowflake, eliminating the need for manual sync work and reducing time spent on data workflows.