Data Breakfast - London
Data Breakfast with Adaptavist: Learn. Share. Connect over coffee.

The Story
As data environments grow more complex, maintaining visibility across repositories, platforms, and teams becomes one of the biggest silent killers of data trust. Silos form. Troubleshooting consumes entire sprints. Confidence in your pipelines erodes.
Adaptavist faced these exact challenges. Then they set out to fix it, and what they built is worth sharing over a good coffee.
"Game-changing data observability — complete, end-to-end visibility across every source, platform, and team."— Callum O'Connor, Senior Analytics Engineer, Adaptavist
What You'll Learn
01 — Achieving Full LineageHow Adaptavist gained complete, end-to-end visibility of their data lineage across multiple sources and platforms — and what it changed for their team.Tag: Data Observability
02 — Effortless ImplementationBest practices for a fast and frictionless setup: API integrations, dbt manifest uploads, and building a clean cross-platform ecosystem without the headaches.Tag: Best Practices
03 — Vendor Collaboration That WorksThe importance of tight feedback loops and honest communication when scaling a modern data stack. What great partnership actually looks like.Tag: Ecosystem
The Morning Agenda
09:00 — Doors Open & Breakfast: Arrive, grab your coffee, and meet fellow data leaders in an intimate setting. Venue revealed to confirmed guests.
09:15 — The Adaptavist Success Story: Callum O'Connor, Senior Analytics Engineer at Adaptavist, takes us through their journey — from siloed data hell to seamless, trusted observability.
- Practical lessons from Adaptavist's implementation: lineage, APIs, cross-platform orchestration, and what they'd do differently. Real talk, no slides-only polish.
09:45 — Open Q&A & Best practices: Your questions, answered. This is a small group — bring your most pressing challenges to the table and get honest answers from people who've been through it.
10:00 — Open Networking: Continue the conversation over breakfast. Exchange ideas with peers and leave with more than just insights — leave with connections that matter.
This is for you if you care about data.
Data Engineers & Analytics Engineers
You're building the pipelines. You want to stop firefighting broken lineage and start trusting your infrastructure.
Data Platform & Observability Leaders
You own the data stack. You're looking for real-world proof of what works — and a peer network that understands your problems.
Anyone With Insights to Share
This isn't a lecture. It's a conversation. Come ready to share your own experience and learn from others who've faced the same challenges.
Seats are limited.
This is a small, curated gathering. Request your spot below and we'll confirm your place personally.
Speaker
Sifflet is a leading data observability platform that helps companies see data breakthroughs. Customers like the BBC, Penguin Random House, Carrefour, and Adaptavist rely on Sifflet to uncover, prevent, and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.
Callum O'Connor is an experienced Analytics Engineer who led the complete overhaul of Adaptavist's analytics platform, implementing dbt polyrepos, Airflow orchestration, and config-led scripting. He spearheaded the "Data as a Product" (DaaP) initiative, focusing on data democratization through data contracts, collaboration, and partnerships with key tools like Sifflet.
Speaker
Sifflet is a leading data observability platform that helps companies see data breakthroughs. Customers like the BBC, Penguin Random House, Carrefour, and Adaptavist rely on Sifflet to uncover, prevent, and overcome the technical and organizational obstacles that get in the way of better quality, more reliable data.
Callum O'Connor is an experienced Analytics Engineer who led the complete overhaul of Adaptavist's analytics platform, implementing dbt polyrepos, Airflow orchestration, and config-led scripting. He spearheaded the "Data as a Product" (DaaP) initiative, focusing on data democratization through data contracts, collaboration, and partnerships with key tools like Sifflet.
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