Rajratna Patil
Data Analyst
I build reliable data pipelines, analytical models and reporting products for real operational problems.

I build reliable data pipelines, analytical models and reporting products for real operational problems.

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A carrier-normalization pipeline that turns inconsistent operational files into trusted dimensions, facts and Power BI delivery-precision analytics.
Inconsistent carrier files and reporting definitions.
Automated ingestion, standardization and modeling.
Trusted delivery-precision analytics.
A weekly workforce model built from daily Parquet snapshots, persisted weekly history and analytical views for headcount and employee movement reporting.
A near-real-time Andon image pipeline that generates operational screens in Databricks every 10 minutes, stores them in Azure Blob Storage and streams them securely through SAS links.