Hendrik Treutler

Senior Backend Engineer at Tealium

Halle (Saale), Saxony-Anhalt, Germany
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Hendrik Treutler is a Senior Backend Engineer with 11 years of experience building data-driven backend systems, currently contributing at Tealium after a five-year senior engineering stint at Datameer. He brings a rare blend of academic rigor and industry practice, holding a PhD in Bioinformatics and having worked as a scientific researcher at Leibniz-Institut and IPK Gatersleben before transitioning to commercial engineering. His background equips him to tackle complex data processing and integration challenges, especially in analytics and customer data platforms. Based in Halle (Saale), Germany, Hendrik pairs deep domain knowledge with pragmatic engineering, often translating research-grade algorithms into production-ready services.
code11 years of coding experience
bookDoctor of Philosophy - PhD Bioinformatik, Doctor of Philosophy - PhD Bioinformatik at The Martin Luther University of Halle-Wittenberg
github-logo-circle

Github Skills (56)

ipb10
mass10
mass-spectrometry10
matching10
peak-detection10
camera10
bioconductor10
bioinformatics10
bottleneck10
biomedical10
web-application9
application-server9
connected9
git-repository9
feature-detection9

Programming languages (4)

JavaShellRHTML

Github contributions (5)

github-logo-circle
ipb-halle/MetFamily

Jul 2015 - Aug 2019

Understanding metabolism is fundamental in biomedical and plant research and the identification and quantification of thousands of metabolites by mass spectrometry in modern metabolomics is a prerequisite for elucidating this area. However, the identification of metabolites is a major bottleneck in traditional approaches hampering advances. Here, we present a novel approach for the untargeted discovery of metabolite families offering a bird's eye view of metabolic regulation in comparative metabolomics. We implemented the presented methodology in the easy-to-use web application MetFamily to enable the analysis of comprehensive metabolomics studies for all researchers worldwide. MetFamily is available under http://msbi.ipb-halle.de/MetFamily/.
Contributions:1 release, 86 commits, 5 PRs in 4 years 2 months
web-applicationmethodologymetabolitesbioinformaticsresearchers
mgledi/DiffLogo

Feb 2015 - Jun 2020

Contributions:48 commits, 24 pushes, 4 comments in 5 years 4 months
sequencevisualisationmotifscomparativevisualization
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Hendrik Treutler - Senior Backend Engineer at Tealium