Lagos dbt Meetup - September 2026 (in person)
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Lagos dbt Meetup - September 2026 (in person)

Hosted by Lagos Dbt Meetup

Saturday 19 September 2026, 11:00Venue time (Lagos)
Cafe One by SterlingDirections
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We’re excited to host our September IN-PERSON Lagos dbt Meetup in 2026, organized by the Young Data Professionals Community! We look forward to learning, socializing, and seeing both new and familiar faces. Our venue has limited capacity, so please only RSVP if you intend to attend. If you need to cancel at the last minute, kindly update your RSVP status on Meetup to “Not Going.” 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. We welcome data analysts, analytics engineers, data scientists, data engineers, data architects, and more. 🇳🇬 For the best Meetup experience, make sure to join the local-nigeria channel in dbt Slack. Join the dbt Community on Slack using the signup instructions here: https://slack.getdbt.com/ 🏠Venue: Cafe One by Sterling Commercial Avenue, Yaba, Lagos. ✨Agenda✨ Welcome and Introductions We’ll also be sharing and discussing key updates and insights from dbt Summit 2026, taking place from September 15–18. Talk 1: Victor Iwuocha — Senior Data Engineer Topic: Orchestrating a Data Engineering Agent with n8n, Powered by dbt Semantic Models Talk 2: Ikechukwu Chilaka — Senior Platform Data Engineer, NewGlobe Topic: Metadata-Driven Governance: From Documentation to Enforcement Panel Discussion: “The Impact of AI-Driven Data Literacy on the Future of Data and Analytics.” Samuel Moronkeji | Edward Oluwaseyi | Jacky Munpana Do you have questions for the session? Please use this link To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy ---------------------------------- dbt is the standard in data transformation, used by over 30,000 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/

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