In a refreshing take on data processing, a data engineer in the financial services sector shares their experience of switching from PySpark to Polars for handling smaller datasets. This change has led to significant performance improvements, making their work more efficient and enjoyable. The article highlights the importance of adapting tools to fit specific needs, especially when dealing with smaller data volumes, and serves as a reminder that sometimes, stepping away from familiar habits can lead to better outcomes.