Diogo Aurélio

Head Of Data And Systems Engineering Berlin Hive

Berlin, Germany
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Summary

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Senior
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Diogo Aurélio is a Head of Data and Systems Engineering based in Berlin with 11 years of experience designing low-latency, high-QPS real-time systems and scaling high-performing engineering teams. He blends hands-on functional programming expertise in Scala and distributed stream/batch technologies (Spark, Flink, Hadoop) with cloud-native architecture and infra-as-code on AWS. At STRÖER Labs he transitioned from sole engineer to building and leading cross-hive Data and DevOps teams, driving platform integrations across multiple countries. His background includes architecting data platforms and serverless workflows for automotive and retail clients, plus pragmatic DevOps and monitoring solutions (Prometheus/Grafana). Diogo writes about big data, devops and software engineering and is open to green-tech investment and volunteering—revealing a technical leader who pairs production-grade engineering with broader sustainability interests. An early career in enterprise infrastructure and a history of freelance engagements give him both consultancy breadth and deep delivery focus.
code11 years of coding experience
job10 years of employment as a software developer
bookMSc Industrial Engeneering & Management, MSc Industrial Engeneering & Management at Universidade Nova de Lisboa
bookSapienza Università di Roma
bookDeutsche Schule Lissabon
languagesEnglish, Portuguese, German, Spanish
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Stackoverflow

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Github Skills (46)

data-pipelines10
monitor10
python10
data-science10
data-engineering10
machine-learning10
workflow-engine10
apache10
scheduler10
etl10
automation10
mlops10
airflow10
elt10
orchestration10

Programming languages (8)

HCLDockerfileJavaC++RustScalaRubyPython

Github contributions (5)

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diogoaurelio/recommenderz

Oct 2016 - Mar 2017

Contributions:10 commits, 2 PRs, 19 pushes in 4 months
apiplay-slickrecommendationrecommendation-systemscala
Contributions:19 commits, 15 pushes, 2 branches in 2 years 1 month
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