How do you ingest data into S3 from multiple systems such as Snowflake, ServiceNow, Salesforce, and ERP, and have you built any integration to pull data from Salesforce?

To ingest data into S3 from multiple sources such as Snowflake, ServiceNow, Salesforce, and ERP systems, you typically use a combination of connectors, APIs, and ETL services. For Snowflake, you can run an AWS Glue job that connects via JDBC, extracts the data, and writes it to S3 in Parquet or ORC. For ServiceNow, the REST API or IntegrationHub can pull data into a Lambda function that writes to S3. Salesforce can be exported using the Bulk API or a third‑party connector like Fivetran, which streams the data directly into an S3 bucket. ERP systems often expose ODBC/JDBC or REST endpoints; you can use a custom Python script or an ETL tool like Talend to pull the data and upload it to S3. Once the data lands in S3, you can trigger downstream processing with S3 event notifications, AWS Glue crawlers to catalog the data, and Athena or Redshift Spectrum for querying. Using a managed service like AWS Glue or a third‑party platform reduces operational overhead and ensures consistent schema handling.