2 posts tagged with "Salesforce"

A lead score trapped in a warehouse is just a number. The useful version appears on the Salesforce Lead record while a sales rep is deciding who to call next.

Supaflow Python tasks close that loop. You can ingest CRM and behavioral data into Snowflake, apply transparent scoring rules with Python and pandas, write the results to an activation table, and then sync those fields back to Salesforce. The same output can also feed a Salesforce Marketing Cloud Data Extension for a high-intent nurture journey.

A Supaflow orchestration turns those pipelines and tasks into one dependency-aware workflow, so activation cannot start before ingestion and scoring finish. This guide builds that end-to-end data pipeline.

Export Salesforce to S3 in 10 Minutes​

Export Salesforce to S3 and query it in Athena — no ETL tools, no long‑running servers.

This open‑source, serverless pipeline uses AWS Lambda, Step Functions, and the Salesforce Bulk API 2.0 to export every Salesforce object to S3. After each run, it automatically updates the AWS Glue Data Catalog, so your data is immediately queryable in Athena.

After a single deployment, you can query your Salesforce data directly in Athena:

SELECT * FROM salesforce_export.account_raw LIMIT 10;