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NYC dbt meetup online

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Hosted By
Brooklyn Data C.
NYC dbt meetup online

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Welcome to the first dbt meetup of 2021! Brooklyn Data Co. https://brooklyndata.co/) is excited to be teaming up with dbt to host the NYC meetups moving forward, with this particular event being sponsored by Tee Public 👕 (https://www.teepublic.com/).

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.

For the best Meetup experience, make sure to join the #local-nyc channel in dbt Slack (https://slack.getdbt.com/).

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✨ Speaker Lineup✨

🗣 Kyle Shannon, Lead Data Engineer at TeePublic (https://www.teepublic.com/)

Presentation: Leveraging dbt to empower creators to turn their passion into profit

Description: TeePublic is the best place to discover art and apparel made by independent artists from around the world. In this talk, Kyle will share how his team migrated from traditional integrations to data-driven operational analytics via dbt to power marketing feeds of 150+ million products at scale & enable our growth team to have data-driven engagement with users to help them become more successful on TeePublic.

🗣 Kendra Gaunt, Data + AI Product Owner at The Trevor Project (https://www.thetrevorproject.org/)

Presentation: Data infrastructure for social good

Description: Along with David Lai from Brooklyn Data Co., Kendra will walk us through the journey that The Trevor Project went through of building data infrastructure to support positive mental health outcomes for LGBTQ youth.

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To honor the great work that The Trevor Project does, Brooklyn Data Co will be matching the first $1,000 of donations to them. Make your contribution here: https://give.thetrevorproject.org/brooklyndataco

dbt is a command line tool that speaks the preferred language of data analysts everywhere—SQL. With dbt, analysts take ownership of the entire analytics engineering workflow, from writing data transformation code to deployment and documentation.

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