Astronomer's in-house data team focuses on making data both valuable and reliable, primarily using Airflow to achieve these goals. The team, which serves the entire company, operates with a small yet effective group of five members who handle extensive data processes, including maintaining 200 DAGs and integrating data from over 25 sources to run over a million tasks monthly. Their work underpins various company functions, from creating internal and embedded product dashboards to managing operational analytics and billing data, as well as enhancing sales and support contexts through reverse ETL processes. The team emphasizes the importance of foundational, often invisible work in maintaining reliable data systems, drawing an analogy to an iceberg where the visible parts are supported by substantial unseen efforts. By strengthening these foundations, they aim to prevent issues, build trust, and enable strategic innovation. Future blog posts will delve into topics like pipeline reliability and data quality, sharing insights and best practices to assist other data teams in addressing similar challenges.