The blog post discusses the role of external schedulers and orchestration tools in optimizing data workflows, specifically focusing on Fivetran and dbt in the modern data stack. Fivetran automates data syncs between sources and destinations with customizable scheduling, while dbt handles scheduled data transformations once data is loaded into a warehouse. However, due to the sequential nature of ELT processes, timing issues can arise, which may hinder scalability and data quality. Orchestration tools like Airflow, which manage workflows through dynamic, extendable, and distributed systems, offer a solution by defining explicit task dependencies, thereby reducing latency and improving data quality. These tools allow for the seamless execution of tasks in parallel, ensuring dbt transformations only begin after Fivetran's data loading is complete. The post introduces an upcoming series focused on using Airflow for orchestrating Fivetran syncs and invites users to share their experiences with such orchestration in their data stacks.