I will monitor and debug your databricks and pyspark data pipelines

Is your data pipeline throwing silent failures, running slow, or breaking in production without warning? I diagnose and fix these problems fast.

I'm a data engineer who runs a live multi-client Databricks lakehouse environment daily. I know what it looks like when a pipeline is genuinely healthy versus quietly accumulating problems that will surface later as a bigger incident.

What I can do for you:

• Audit an existing pipeline for bottlenecks, silent failures, and reliability risks
• - Debug a specific failing or underperforming job (Databricks, PySpark, Spark SQL)
• - Set up monitoring, alerting, and logging so issues get caught before they become outages
• - Recommend fixes to schema design, partitioning, or job structure causing slowdowns
• - Explain what's wrong in plain language, not just a technical dump

This is not a full pipeline rebuild service, it's focused, targeted diagnostic and fix work. If your pipeline needs to be built from scratch, check my other gig for that.

Message me with what's going wrong (errors, slow runs, unclear behavior) and I'll tell you honestly whether I can help before you order.