Limited Capacityfull Adding this to your schedule will put you on the waitlist.
Data engineers often face a dilemma: use heavy, low-code ETL platforms or maintain a mountain of custom Python scripts for REST APIs and SFTP servers. At Decathlon, we chose a third way.
In this "Tool in Action" session, we will demonstrate how we leveraged dlt to simplify the ingestion of Marketing, SEO, and SEA data from fragmented sources (S3, GCS, SFTP, and various REST APIs) into our Datalake. We will walk through a live-coding-style demo showing how to: - Turn a simple Python generator into a production-ready pipeline in minutes. - Handle automated schema evolution and data typing without manual DDL. - Implement robust monitoring and observability to ensure data quality at scale.
If you are looking to replace "manual" boilerplate code with a Pythonic, "ETL-as-code" approach, this talk is for you.
