The life sciences industry relies on data accuracy, regulatory insight and quality intelligence. Building a unified system that keeps these elements aligned is no small feat.In this episode, we welcome <a href="https://www.linkedin.com/in/shankar-mahindar-83a61b137/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Shankar Mahindar</a>, Senior Data Engineer II at <a href="https://www.linkedin.com/company/redicasystems/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Redica Systems</a>. We discuss how the team restructures its data platform with Airflow to strengthen governance, reduce compliance risk and improve customer experience.Key Takeaways:00:00 Introduction.01:53 A focused analytics platform reduces compliance risk in life sciences.07:31 A centralized warehouse orchestrated by Airflow strengthens governance.09:12 Managed orchestration keeps attention on analytics and outcomes.10:32 A modern transformation stack enables scalable modeling and operations.11:51 Event-driven pipelines improve data freshness and responsiveness.14:13 Asset-oriented scheduling and versioning enhance reliability and change control.16:53 Observability and SLAs build confidence in data quality and freshness.21:04 Priorities include partitioned assets and streamlined developer tooling.Resources Mentioned:<a href="https://www.linkedin.com/in/shankar-mahindar-83a61b137/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Shankar Mahindar</a>https://www.linkedin.com/in/shankar-mahindar-83a61b137/<a href="https://www.linkedin.com/company/redicasystems/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Redica Systems</a> | LinkedInhttps://www.linkedin.com/company/redicasystems/<a href="https://redica.com" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Redica Systems</a> | Websitehttps://redica.com<a href="https://airflow.apache.org/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Apache Airflow</a>https://airflow.apache.org/<a href="https://www.astronomer.io/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Astronomer</a>https://www.astronomer.io/<a href="https://www.snowflake.com/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Snowflake</a>https://www.snowflake.com/<a href="https://aws.amazon.com/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">AWS</a>https://aws.amazon.com/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

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How Redica Transformed Their Data With Airflow and Snowflake with Shankar Mahindar

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

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