Create a Marketo Service:
- Log into your Marketo Admin Console.
- Navigate to the LaunchPoint section and create a new service with API access.
- Generate the Client ID and Client Secret.

Obtain API Endpoints:
- Identify your instance’s REST API base URL (e.g., https://123-ABC-456.mktorest.com).
- Locate the identity endpoint (e.g., https://123-ABC-456.mktorest.com/identity) for generating access tokens.

Authenticate Using OAuth 2.0:
- Use your Client ID and Client Secret to request an access token from the identity endpoint.
- Tokens expire after an hour; plan to refresh them programmatically during long-running jobs.

Initiate a Bulk Extract Job:
- Use the Bulk Extract API to create a job for exporting specific datasets (e.g., leads, activities).
- Specify filters such as date ranges or specific fields (e.g., createdAt).

Poll Job Status:
Monitor the job status using the Bulk Extract API until it is marked as "Completed."

Download Exported Data:
- Once completed, download the CSV file from the provided URL.
- Save the file locally or in a temporary cloud storage location.

Set Up an S3 Bucket:
- Create an S3 bucket in your AWS account to serve as the raw data storage layer for your data lake.
- Organize folders within the bucket (e.g., marketo/raw/).

Configure IAM Roles:
- Create an IAM role with permissions to write to the S3 bucket.
- Attach policies such as AmazonS3FullAccess or fine-tune permissions for specific actions like PutObject.

Upload CSV Files:
- Use AWS CLI, SDKs (e.g., Boto3 in Python), or REST APIs to upload the CSV files extracted from Marketo into your S3 bucket.
- Ensure proper folder structure for easy organization and retrieval later.

Validate Uploads:
Verify that all files have been successfully uploaded by checking their presence in the S3 bucket using AWS Management Console or CLI commands.