This installment of the "Community Member Spotlight" series highlights Andrew Engel, chief data scientist at Rasgo, who has been using TimescaleDB to build a time-series forecasting side project. Andrew initially worked with PostgreSQL and Airflow for his project but found the performance limitations of Python-based solutions. He then implemented custom extensions in C to improve performance by 10-100 times, releasing them as open-source packages called etu and pgetu. These packages provide faster and more efficient time-series feature engineering directly within TimescaleDB, making it easier for data scientists to work with the database. Andrew hopes to help others benefit from this project and plans to continue improving the libraries to support more feature calculators in tsfresh.