Industrial data and machine learning pipelines

This talk will provide a practical deep dive on how to build industry-ready machine learning / data pipelines. This talk will consist of a practical presentation that will build from the basics of several Python Data Pipeline frameworks such as Airflow, and show how it is possible to build scalable and distributed machine learning data pipelines using a distributed architecture. I will provide insights on some of the key learnings I've obtained throughout my career building & deploying machine learning systems in critical environments across several sectors.