Matt Kohl

Principal Data Engineer

London, England, United Kingdom
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Summary

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Senior
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Top School
Matt Kohl is a Principal Data Engineer based in London with 11 years of experience building data platforms, APIs, and knowledge-graph driven systems using Scala and Python. He has led teams and architected large-scale pipelines across companies like Indeed, GeoPhy, Thomson Reuters, and Oxford University Press, working with technologies such as Snowflake, Kafka, Airflow, dbt, Spark, and graph databases. His domain strength lies in semantic and graph data—designing ontologies, knowledge graphs, and integration pipelines that turn messy lexical and enterprise data into queryable platforms. Comfortable in both hands-on development and technical leadership, he has repeatedly moved projects from research or legacy stacks into production-grade cloud architectures. An English literature and classics background gives him an uncommon blend of linguistic insight and engineering rigor that informs his approach to data modelling and semantics.
code11 years of coding experience
job18 years of employment as a software developer
bookBA Classics English, BA Classics English at The University of Texas at Austin
bookMA English Literature, MA English Literature at New York University
languagesEnglish
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Stackoverflow

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Github Skills (176)

actor-framework10
bing-search10
python10
language-learning10
generic-derivation10
http10
websocket10
http-client10
extensible10
cloud-native10
flask10
actor-model10
concurrency10
streaming10
modular10

Programming languages (13)

C#C++CScalaTeXGoHTMLTypeScript

Github contributions (5)

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mattkohl/PyRollout

May 2015 - Feb 2018

A PySpark script that builds a static site from an RDF source
Contributions:80 pushes, 1 branch in 2 years 10 months
pythonstatic-sitebuildsrdfpyspark
Contributions:178 pushes, 1 branch in 11 months
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Matt Kohl - Principal Data Engineer