A strong data-driven mindset underpins how fintech teams scale analytics, infrastructure and decision-making across the business.

In this episode, Jaime Oliveira, Lead Data Engineer at Uphold, joins us to discuss how Uphold structures its data organization and orchestration strategy. Jaime shares how the team uses Airflow and dbt to support analytics, reporting and data activation while evolving their approach as the stack grows.

Key Takeaways:

00:00 Introduction.

01:23 A data-driven mindset supports product development and business decisions.

02:55 Diverse ingestion pipelines enable scalable analytics.

04:18 A single orchestration platform simplifies analytics workflows.

05:17 Early experience with orchestration tools shapes engineering practices.

08:16 Analytics orchestration works best when aligned with transformation workflows.

09:25 Infrastructure choices involve tradeoffs in testing, visibility and overhead.

16:39 More collaborative workflow tools could improve accessibility and autonomy.

Resources Mentioned:

Jaime Oliveira

https://www.linkedin.com/in/jaime-oliveira-b075855a/

Uphold | LinkedIn

https://www.linkedin.com/company/upholdinc/

Uphold | Website

https://uphold.com

Apache Airflow

https://airflow.apache.org

dbt

https://www.getdbt.com

Snowflake

https://www.snowflake.com

Kubernetes

https://kubernetes.io

Astronomer Cosmos

https://astronomer.github.io/astronomer-cosmos

Cosmos e-book

https://www.astronomer.io/ebooks/orchestrating-dbt-with-airflow-using-cosmos/

Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.

#AI #Automation #Airflow