Uphold’s Approach to Orchestrating Modern Data Workflows with Jaime Oliveira

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