Get ready to ingest data and transform it into ready-to-use datasets using Python. We'll share a no-nonsense approach for developing and testing data connectors and transformations locally. Moving to production will be a matter of tweaking your configuration. In the end, you get a simple dataset interface to build dashboards & applications, train predictive models, or create agentic workflows. This workshop includes two guest speakers. Brian teach how to leverage AI IDEs, MCP servers and LLM scaffoldings to create ingestion pipelines. Elvis will show how to interactively define transformations and data quality checks.
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T
Speaker
Thierry Jean
1
talks
AI Engineer
dltHub
Thierry is a Senior AI Engineer at dltHub and core developer of the Python library dlt. He is also a maintainer of the Python transformation framework Apache Hamilton.
He focuses on developing data tools with top-notch ergonomics for both developers and AI agents.
Bio from: Small Data SF 2025
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