Managing financial data at scale requires precise orchestration and proactive monitoring to maintain operational efficiency.

In this episode, we are joined by Adeolu Adegboye, Data Engineer at Moniepoint Group, who shares how his team uses data pipelines and workflow automation to manage high volumes of transactions, ensure timely alerts and support diverse stakeholders across the business.

Key Takeaways:

(00:00) Introduction.

(02:48) The role of data engineering in supporting all business operations.

(04:17) Leveraging workflow orchestration to manage daily processes.

(05:20) Proactively monitoring for anomalies to prevent potential issues.

(08:12) Simplifying complex insights for non-technical teams.

(13:01) Improving efficiency through dynamic and parallel workflows.

(14:19) Optimizing system performance to handle large-scale operations.

(17:19) Exploring creative and innovative uses for workflow automation.

Resources Mentioned:

Adeolu Adegboye

https://www.linkedin.com/in/adeolu-adegboye/

Moniepoint Group | LinkedIn

https://www.linkedin.com/company/moniepoint-inc/

Moniepoint Group | Website

https://www.moniepoint.com

Apache Airflow

https://airflow.apache.org/

ClickHouse

https://clickhouse.com/

Grafana

https://grafana.com/

Beyond Analytics Conference

https://astronomer.io/beyond/dataflowcast

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 #MachineLearning