Carl Witt

Data Engineer

Berlin, Germany
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Summary

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Senior
🎓
Top School
Carl Witt is a data engineer based in Berlin with 13 years of experience blending research-grade distributed systems work with product-focused data tooling. After earning a PhD in computer science, he spent several years researching predictive resource allocation for distributed data analysis before joining KNIME, where he contributed to and now engineers around the open-source KNIME Analytics Platform. His background spans Java and Python development, exploratory data analysis, time series methods, and full-stack sensor and metadata management systems. He is comfortable moving between research and engineering contexts, turning academic insights into robust, production-ready features. Known for combining rigorous algorithmic thinking with practical implementation, he often surfaces non-obvious performance and resource trade-offs in large data workflows.
code13 years of coding experience
job4 years of employment as a software developer
bookBachelor of Science - BS Informatik, Bachelor of Science - BS Informatik at Freie Universität Berlin
bookDoktor (Ph.D.) Informatik, Doktor (Ph.D.) Informatik at Humboldt-Universität zu Berlin
languagesEnglish, German
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Stackoverflow

Stats
1,131reputation
289kreached
15answers
4questions
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Github Skills (81)

slurm10
reproducible-science10
singularity10
reproducible-research10
bioinformatics10
nextflow9
pipeline9
dataflow9
pipeline-framework9
docker9
aws9
dsl9
groovy9
recurrence9
wdl9

Programming languages (10)

JavaC++TeXJavaScriptGoPHPHTMLGroovy

Github contributions (5)

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carlwitt/Erlang-Kademlia

Jan 2013 - May 2016

Contributions:6 commits, 1 push, 1 comment in 3 years 4 months
Exploring Cross-Correlation between ensembles of time series.
Contributions:48 commits, 4 pushes, 2 issues in 5 years 11 months
time-series-analysiscross-correlationcorrelationtime-seriesensembles
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Carl Witt - Data Engineer