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Vignesh

30d ago

What’s the biggest silent data failure you’ve faced?

Data engineers what s the worst silent data failure you ve ever dealt with?

Schema drift?

Null explosions?

Type mismatches?

Vignesh

30d ago

How do you currently validate data in your pipelines?

Curious how everyone here validates data today.

Do you use:

  • custom scripts

  • dbt tests

  • Great Expectations

  • nothing at all

  • manual checks

What s working, what s painful, and what s missing?

Vignesh

30d ago

Would you prefer SDK-based validation or UI-based validation?

If you had to choose one primary workflow for data quality checks:

A) SDK-first (Python, API calls)

B) UI-first (upload files, explore issues visually)

Vignesh

26d ago

DataScreenIQ - Stop Bad Data Before It Breaks Your Pipeline

DataScreenIQ is a Data Firewall SDK for modern pipelines. It screens every batch of data—JSON, rows, or files—and instantly returns PASS, WARN, or BLOCK with a clear Health Score. Detect schema drift, null explosions, type mismatches, and outliers before they break dashboards or models. Designed for Airflow, dbt, Spark, and Python workflows. One line of code gives developers real‑time data quality checks.