Clean financial reporting depends on orchestration that catches issues early, prevents bad data from spreading and helps teams react fast when something breaks.
In this episode, Ayush Pradhan, Senior Analytics Engineer at Snowflake, joins us to explain how Snowflake’s finance data team relies on @Apache Airflow, sensors and dbt to keep revenue, cost and accounting pipelines accurate.
Key Takeaways:
00:00 Introduction.
02:25 Airflow is used to coordinate recurring finance workflows.
04:20 Sensors enforce the timing for the end of the measurement period
06:50 Anomaly checks help catch issues near the source.
08:30 Alerts route to owners quickly through common channels.
10:38 Failed quality checks block downstream publishing.
11:50 New features are adopted only when tied to business value.
15:42 Vendor sensors can trigger workflows after upstream updates.
16:52 Community learnings help teams keep pace with open-source change.
Resources Mentioned:
https://www.linkedin.com/in/ayush-pradhan-845a19194/
Snowflake | LinkedIn
https://www.linkedin.com/company/snowflake-computing/
Snowflake | Website
https://www.snowflake.com
https://airflow.apache.org/
https://www.getdbt.com/
https://slack.com/
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#AI #Automation #Airflow