Department : NYU IT

Designed and built interactive Tableau dashboards to support a university-wide stakeholder management initiative, aligning with FY25 ISG goals on Partnerships.

Automated data workflows using Python, Pandas, and NumPy to streamline ETL pipelines, which improved the accuracy and speed of weekly expenditure reports.

Collaborated with cross-functional teams to enhance data governance and optimize data collection, supporting NYU's business relationship management model.

Implemented over 30 high-performance ETL pipelines using Azure Data Factory, processing more than 15TB of data from diverse on-premises data sources.

Engineered robust data quality frameworks using custom PySpark scripts, improving data accuracy and completeness by 40%.

Achieved a 65% improvement in data ingestion speeds by implementing parallel processing techniques in Azure Databricks and fine-tuning ADF pipeline concurrency

Spearheaded 3 critical Proofs of Concept (POCs) comparing SAP HANA to Azure, which achieved 40% faster query performance and 3x overall execution speed.

Designed and implemented an end-to-end pipeline for SMB and SFTP file ingestion in Azure Data Factory, successfully reducing data latency by 70% and data processing time by 35%