Hey team; very off-topic, so please direct me towards the best channel. I'm just hard-pressed to find a better team of Data Engineers 😛 After creating a solid basis for our EL pipeline using Meltano, our next big issue in our company is applying our T directly in our warehouse (GBQ). The goal here is to apply a separation between our raw directly imported from the source and our resulting dashboard. Would anyone have any insights on what are best practices for pipeline implementation Between your warehouse and your dashboards? This may include: • Creating additional views with dbt • Manipulating complicated data using python • Applying auditing • Using tools to distribute load Thank you so much!