Fahad Khan is a Senior Data Analyst and experienced Data Engineer based in Chicago with a decade of hands-on experience modernizing investment reporting and analytics for financial firms. He designs end-to-end Azure and Microsoft Fabric architectures, builds scalable PySpark/SQL ETL pipelines, and automates paginated Power BI reporting and CI/CD to transform manual workflows into repeatable data products. Fahad has led cross-functional teams and directed consultants to deliver production-grade BI solutions that cut reporting time and reduce operational risk. He has strong practical experience integrating APIs and financial data sources (Bloomberg, Schwab, ICE) and has rolled out AI pilots using OpenAI and Glean to augment insights and automation. A Power BI-certified practitioner and UIC computer science graduate with an appetite for automation (PowerShell, Power Automate), he blends engineering rigor with a product-minded approach to stakeholder-driven analytics. Notably, Fahad’s work emphasizes reusable snapshot pipelines and dynamic backend models that power multiple report variants from a single source of truth.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Illinois Chicago
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