Technology enthusiastic with 2 years of experience as data scientist, my goal is to teach data engineering with the help of AI.

I'm well-versed in various data engineering tasks, from designing and constructing data architectures to ETL (Extract, Transform, Load) processes. I can work with different data storage solutions, like databases and data warehouses, and I'm comfortable with programming languages such as Python or SQL. My experience also includes data modeling, ensuring data quality and security, and optimizing data pipelines for efficiency. Now, teaching data engineering is a whole different ballgame. I'd start with the basics, laying a solid foundation in concepts like database management, data modeling, and programming. We'd delve into the intricacies of ETL processes and explore various tools and technologies relevant to the field. Hands-on projects would be crucial to applying theoretical knowledge in practical scenarios. I believe in an interactive and iterative teaching style, encouraging questions and real-world problem-solving. Learning by doing is key, so there would be plenty of opportunities for practical exercises and projects. And of course, staying updated with the latest trends and technologies in the ever-evolving data engineering landscape is essential.