Discover how the open-source Python library "data load tool" (dlt) bridges the gap between data engineering and data science in this 27-minute EuroPython Conference talk. Learn to overcome typical roadblocks in data science workflows and streamline the transition from data exploration to production. Explore best practices for data handling and managing failures through real-life examples, and understand how dlt can help avoid common engineering headaches in maintaining data pipelines. Gain insights into improving your data science processes and enhancing productivity in data-driven projects.