Brian Kerschner is a Staff Engineer in Chicago who turns ambiguous problems into production-ready data and cloud systems by combining rigorous research instincts with pragmatic engineering. With a background spanning enterprise data foundations, machine learning-driven business models, and geospatial analytics, he has designed scalable pipelines and semantic data structures for companies like Grainger and Equity Residential that delivered multi-million-dollar impact. He is fluent across GCP and Azure, Terraform, Kubernetes, async Python, Postgres/BigQuery and event-driven architectures, and emphasizes reproducible, observable orchestration (Airflow, CloudEvents) when moving models to production. His career began in customer-facing roles and international markets, and that blend of domain empathy and technical depth helps him translate messy real-world data into reliable analytical frameworks. Brian’s MBA in Business Analytics and Finance complements his hands-on engineering, enabling him to align technical tradeoffs with measurable business outcomes.
4 years of coding experience
8 years of employment as a software developer
Master of Business Administration, Majors in Business Analytics and Finance, Master of Business Administration, Majors in Business Analytics and Finance at Indiana University - Kelley School of Business
Bachelor of Arts, Major in International Affairs and Minors in Chinese Language and History, Bachelor of Arts, Major in International Affairs and Minors in Chinese Language and History at The George Washington University
The fastest business intelligence tool for humans and agents.
Contributions:17 releases, 1 review, 7 pushes in 5 months
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