In a world where data teams need agility, flexibility, and control over their pipelines, dlt (data load tool) steps in to simplify and empower the data engineering process. We’ll discuss how dlt integrates with other tools, to create seamless, end-to-end pipelines that are easy to configure and maintain. Perfect for data engineers, analysts, and anyone eager to embrace a future of composable, future-proof data workflows.
talk-data.com
A
Speaker
Alena Astrakhantseva
1
talks
Python Developer, Data Scientist, and DevRel professional
dltHub
She builds and optimizes data pipelines (ELT/ETL), engages with the dltHub community, and creates educational content to make data processing more accessible. Previously a scientist, she traded Applied Math equations for Machine Learning adventures, specializing in the classification and segmentation of visual data in the challenging medical domain.
Bio from: Data November Talk Evening
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