3 Ways Data & Analytics Engineers Can Work Up to 90% Faster With Data Observability
Top 3 ways Adaptavist saved saved hours of productivity with Data Observability
From drawing lineage between repos, rapid refactoring, and daily testing and monitoring at scale, Callum O’Connor from Adaptavist will show you 3 ways that data observability can speed up your operations so you can work smarter and sharper as a data engineer and gain hundreds of hours of productivity back.
Speaker
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
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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