Block Bad Data Before the Write with Nike’s Ashok Singamaneni

Nike’s Principal Data Engineer Ashok Singamaneni joins Benjamin and Eldad to discuss his open-source data quality framework, Spark Expectations. Ashok explains how the tool, which was inspired by Databricks DLT Expectations, shifts data quality checks to before the data is written to a final table. This proactive approach uses row-level, aggregation-level, and query data quality checks to fail jobs, drop bad records, or alert teams - ultimately saving huge costs on recompute and engineering effort in mission-critical data pipelines.

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Block Bad Data Before the Write with Nike’s Ashok Singamaneni is an episode from The Data Engineering Show by The Data Bros.

This episode is 20:20 long.

This episode was published on Oct 7, 2025.

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