From APIs to Warehouses: AI-Assisted Data Ingestion with dlt

​This hands-on workshop focuses on building reliable data ingestion pipelines to data warehouses (for example, Snowflake) using dlt (data load tool), enhanced with LLMs, the dlt dashboard, and dlt MCP.

​You’ll work through the key building blocks of a production-ready ingestion setup, including:

• ​Extracting data from APIs, files, and databases

• ​Normalizing data into consistent schemas

• ​Writing data to a data warehouse (e.g. Snowflake)

• ​Using LLMs to accelerate dlt pipeline development

• ​Validating data and schema changes using the dlt dashboard and dlt MCP

​The session is fully practical and code-driven. By the end of the workshop, you’ll understand how to design maintainable, scalable ingestion pipelines and use AI and validation tools to build them faster and with confidence.​​

​About the Speaker

​Aashish Nair is a Data Engineer at dltHub and the creator of the famous dlt deployment course, where he teaches best practices for running dlt pipelines in production.

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This event is sponsored by dltHub