Kiavash Kianfar is a Staff Software Engineer at Databricks, leading work on Lakeflow Spark Declarative Pipelines after progressing from Senior Software Engineer roles. He brings a rare blend of industry and academia, having been a tenured Associate Professor at Texas A&M where he taught and researched bioinformatics, optimization, and capacity planning in complex systems. With a Ph.D. in Industrial and Systems Engineering and over eight years in software engineering, he focuses on scalable data pipelines and algorithmic rigor for large‑scale analytics. Based in San Francisco, he pairs production engineering at Databricks with ongoing adjunct teaching, bridging cutting‑edge platform development and pedagogy. Colleagues value his ability to translate theoretical optimization insights into practical, performant Spark systems. He is known for combining deep systems thinking with hands‑on delivery across research and product teams.
8 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering, GPA: 4.30/4.00, Doctor of Philosophy (Ph.D.), Industrial and Systems Engineering, GPA: 4.30/4.00 at North Carolina State University
Bachelor of Science (B.S.), Industrial Engineering, GPA: 18.93/20.00, Bachelor of Science (B.S.), Industrial Engineering, GPA: 18.93/20.00 at Sharif University of Technology
Contributions:6 PRs, 4 pushes, 6 branches in 1 day
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Kiavash Kianfar - Sr. Software Engineer at Databricks