Khurshid Uktamov

– Developed ETL pipeline with Python (Pandas, NumPy) to prepare dimensional data, remove duplicates, enrich datasets, and ensure correct data structure, reducing manual errors by 50%. – Implemented robust SQL and Python data validation scripts, achieving 95%+ accuracy and ensuring consistent, reliable delivery of large client datasets.

– Designed and delivered a Data Governance Reports, integrating key metrics (Data alignment, Data consistency, SLA compliance) to provide transparency and build stakeholder trust with downstream consumers. – Designed clear technical documentation and led practical workshops to support smooth on-boarding and efficient use of data pipelines, cutting ramp-up time for new team members by 60%.