Summary
Tafseer Khan is a Data Engineer II based in Indianapolis with 5+ years building scalable data platforms and ETL pipelines, currently architecting a Trino-based distributed Lakehouse for Corteva’s R&D organization. He blends big-data engineering (Azure, Databricks, Spark, dbt, Dagster) with practical performance tuning—delivering petabyte-scale federated queries, cutting processing times by ~80%, and replacing costly SAS workflows. His work emphasizes data lineage, accessibility, and integrations across BI tools to accelerate scientists’ productivity and streamline ML data access. With a background in MS Information Management and hands-on experience converting legacy Fortran workflows to Python, he brings both academic rigor and pragmatic engineering to complex data problems. Outside core analytics stacks, he codes in Go and explores backend and Web3 tooling, reflecting a curiosity for low-level systems and emerging architectures.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Computer Science , Bachelor of Engineering - BE Computer Science at Visvesvaraya Technological University
Master of Science - MS Information Management, Master of Science - MS Information Management at University of Illinois Urbana-Champaign