PriyanshiGupta

Resilient pipelines with automated metadata management and error logging, so a failed source retries and reports itself instead of silently rotting.

Custom ingestion per protocol — web scraping, FTP, and gnarly NetCDF grids flattened into high-performance Parquet tables instead of overnight batch waits.

A greenfield Azure platform built from nothing, orchestrated through Data Factory, with a Python ETL framework flexible enough to absorb Elexon and Nord Pool's very different ideas of a data feed.

Not just access — I sat with the logic gaps that surfaced during the move, fixed them, and shipped Genie dashboards so analysts can see pipeline health without asking me.

Quality-assurance workflows rebuilt in Python and SQL on a $10M pharma programme, replacing the checks a team was doing by hand every quarter.

Generative AI wired into documentation on SharePoint so it stays current by itself — cutting both onboarding time and the manual work of adding a new data source.