Projects
Selected work from AI, automation, and data engineering engagements. Details anonymised where required.
Featured
Metadata-Driven Data Validation Engine
Designed a reusable, configuration-driven data validation framework that automates quality checks across millions of records and multiple source systems — built once, extended through config.
DatabricksDelta LakeSAP S/4HANASQLPySparkAzure
Replaced ad-hoc manual checks with a systematic process covering 100% of records. 100+ automated rules across 7 validation categories. 75% faster onboarding per new dataset. Operations team owns it independently.
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