How Data Scientists Can Troubleshoot ETL Issues Like a Data Engineer

In the example ETL pipeline below, three data files are transformed, loaded into a staging table, and finally aggregated into a final table. A common issue for ETL failures is missing data files for the latest day's run. If the data comes from an external source, check with the provider and confirm if the files are running late. If the data is internal such as application events or the company website activity, confirm with the team responsible if there were issues that could've caused delayed or missing data. Once you get the missing data your ETL issue is resolved.