Juan Luis Cano Rodríguez
Juan Luis (he/him/él) is an Aerospace Engineer with a passion for tech communities, outreach, and sustainability. He works at QuantumBlack, AI by McKinsey, as Product Manager for Kedro, an opinionated Python framework for creating reproducible, maintainable and modular data science code. He has worked as Developer Advocate at Read the Docs, as software engineer in the space, consulting, and banking industries, and as a Python trainer for several private and public entities.
Apart from being a long-time user and contributor to many projects in the scientific Python stack (NumPy, SciPy, Astropy) he has published several open-source packages, the most important one being poliastro, an open-source Python library for interactive astrodynamics used in academia and industry.
Finally, Juan Luis is the founder and former chair of the Python España association, the point of contact for the Spanish Python community, former organizer of PyCon Spain, which attracted 800 attendees in its last in-person edition in 2022, and current organizer of the PyData Madrid monthly meetups.
Sessions
For the past decade, SQL has reigned king of the data transformation world, and tools like dbt have formed a cornerstone of the modern data stack. Until recently, Python-first alternatives couldn't compete with the scale and performance of modern SQL. However, now Ibis can provide the same benefits of SQL execution with a flexible Python dataframe API, and we can leverage it to build scalable Python pipelines in Kedro. In this tutorial, we will develop a simple analytics pipeline locally, then deploy it in a cloud data warehouse, with just a configuration change.