The integration of MovingPandas and CARTO within Snowflake's Lakehouse environment offers a groundbreaking framework for analyzing urban mobility patterns. By combining the strengths of these tools, users can uncover hidden traffic hotspots, optimize transportation networks, and make smarter urban planning decisions. This seamless integration allows for efficient processing of large datasets, enabling comprehensive spatial and temporal analysis. The outcome is visualized in CARTO, where users can interactively explore the results. This framework has significant potential to transform urban mobility analysis by empowering users to extract valuable insights from complex mobility datasets.