### Q1: What is the primary role of data engineering in the context of business intelligence?  
### Q2: How does Apache Spark contribute to data processing in relation to BI applications?  
### Q3: What are the challenges data engineers might face when ensuring data quality for BI tools?  
### Q4: How can Test_Company utilize BI tools to analyze consumer spending trends effectively?  
### Q5: What strategies could be implemented to improve the integration of data engineering and BI in a finance-oriented organization?  
### Q6: In what ways can data insights shape strategic decisions at Test_Company?  
### Q7: How can effective communication enhance collaboration between data engineers and BI analysts?  
### Q8: What techniques can be used to present complex data insights clearly to stakeholders?  
### Q9: How can feedback from BI tool users inform improvements in data engineering practices?