Here are some additional SAO questions related to data pipelines and data warehouses:

Data Pipelines:

Situation: The daily data load process is taking longer than expected.
Action: What steps did you take to investigate the causes of the delays?
Outcome: How did you optimize the pipeline to improve data loading performance?

Situation: New data sources need to be added to the pipeline.
Action: How did you determine the best way to integrate the new data sources?
Outcome: What challenges did you face when scaling the pipeline to handle the additional data? How were these challenges addressed?

Data Warehouses:

Situation: The data warehouse has become difficult to query efficiently.
Action: How did you troubleshoot the slow query performance?
Outcome: What solutions did you implement to optimize query speeds?

Situation: The data warehouse needs to be restructured to support new reporting and analytics requirements.
Action: How did you plan and execute the restructuring process?
Outcome: Were there any issues encountered, and if so, how were they resolved?

Does this help provide more SAO questions related to data pipelines and data warehouses? Let me know if you would like me to clarify or expand on any of the questions, or provide additional information about evaluating a data engineer's experience in these areas.
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