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A Machine Learning Specialist is designing an Extract Transform Load (ETL) workflow that will run every day. The workflow consists of separate ETL jobs. The workflow is described as the following: Initialize the workflow once the data is delivered to an S3 bucket. Wait until all data is uploaded and available in Amazon S3. Then, execute an ETL job that will join newly uploaded data with multiple pre-existing data in Amazon S3. Save the results to a separate S3 bucket. The Specialist must be notified should one of the ETL jobs fail. Which is the MOST efficient way of implementing the solution?