The use of Apache Airflow in financial services demands a balance between innovation and compliance. Agile Engine’s approach to orchestration showcases how secure, auditable workflows can scale even within the constraints of regulatory environments.In this episode, <a href="https://www.linkedin.com/in/valentyn-druzhynin/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Valentyn Druzhynin</a>, Senior Data Engineer at <a href="https://www.linkedin.com/company/agileengine/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">AgileEngine</a>, discusses how his team leverages Airflow for ETF calculations, data validation and workflow reliability within tightly controlled release cycles.Key Takeaways:00:00 Introduction.03:24 The orchestrator ensures secure and auditable workflows.05:13 Validations before and after computation prevent errors.08:24 Release freezes shape prioritization and delivery plans.11:14 Migration plans must respect managed service constraints.13:04 Versioning, backfills and event triggers increase reliability.15:08 UI and integration improvements simplify operations.18:05 New contributors should start small and seek help.Resources Mentioned:<a href="https://www.linkedin.com/in/valentyn-druzhynin/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Valentyn Druzhynin</a>https://www.linkedin.com/in/valentyn-druzhynin/<a href="https://www.linkedin.com/company/agileengine/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">AgileEngine</a> | LinkedInhttps://www.linkedin.com/company/agileengine/<a href="https://agileengine.com/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">AgileEngine</a> | Websitehttps://agileengine.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://aws.amazon.com/managed-workflows-for-apache-airflow/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">AWS Managed Airflow</a>https://aws.amazon.com/managed-workflows-for-apache-airflow/<a href="https://cloud.google.com/composer" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Google Cloud Composer (Managed Airflow)</a>https://cloud.google.com/composer<a href="https://airflowsummit.org/" target="_blank" style="background-color: transparent; color: rgb(17, 85, 204);">Airflow Summit</a>https://airflowsummit.org/﻿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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Building Secure Financial Data Platforms at AgileEngine with Valentyn Druzhynin

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

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