Name: San Francisco dbt Meetup
Start: 2025-10-10T17:00:00-07:00
End: 2025-10-10T20:00:00-07:00
Location: The Academy

What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures.

**🤝Organizer:** Karen Hsieh (winner of the dbt Community Award, and longtime organizer of the Taipei dbt Meetup)
**🏠Venue:** 2166 Market Street, San Francisco, CA 94114
**🍕Catering:** Light bites and refreshments

*To attend, please read the Health and Safety Policy and Terms of Participation: [https://www.getdbt.com/legal/health-and-safety-policy](https://www.getdbt.com/legal/health-and-safety-policy)*

Agenda

* 5:00–6:00 PM: Mingling with refreshments
* 6:00–6:10 PM: Opening
* 6:10–6:30 PM: Talk by Pradnesh Patil on challenges and opportunities for AI in data and analytics engineering
* 6:30–8:00 PM: More mingling
* 7:30–8:00 PM: Clean up while we are still chatting

🗣️Presentation: Data work without the grind: challenges and opportunities for AI in data and analytics engineering
Speaker: Pradnesh Patil, co-founder & CEO at Altimate AI

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ and join the #local-sf channel.
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dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: [https://www.getdbt.com/](https://www.getdbt.com/)

Karen Hsieh

San Francisco dbt Meetup

dbt Community Meetup

Technology

Database Professionals

Web Analytics

Database Development

Business Intelligence & Data Warehousing

Data Analytics

Business Analytics

Data Science

Big Data

Business Intelligence

Open Source

Data Engineering

The Academy 

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