André Perez
Engineering Manager at Freie Universität Berlin
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolAndré Perez is an Engineering Manager at SumUp with a decade of experience building scalable data, MLOps and distributed systems across fintech and credit-risk domains. He combines hands-on expertise in Go, Python, Spark and Kubernetes with leadership experience moving teams from prototype to production—designing high-performance ML inference services, CI/CD/CT pipelines and event-driven architectures. At SumUp and prior companies he led the creation of credit platforms and ML infrastructure that support real-time scoring and reduced batch processing from hours to minutes. He also contributes infrastructure-focused open-source work, including Docker-based Spark cluster tooling and CI automation, and teaches data engineering topics at universities and bootcamps. Known for blending software-engineering rigor with practical ML deployment, he thrives on turning complex pipelines into resilient, production-ready systems.
10 years of coding experience
8 years of employment as a software developer
Masters (discontinued) Distributed Systems, Masters (discontinued) Distributed Systems at USP - Universidade de São PauloBachelor of Engineering Software Engineering, Bachelor of Engineering Software Engineering at University of Glasgow
English, German, Portuguese
Stackoverflow
62reputation
3kreached
1answer
3questions
Github Skills (22)
build-script10
github-ci10
docker10
bash10
dockers10
cicd10
infrastructure-as-code10
githubaction-workflow10
jupyter9
spark9
rdd6
database6
database-design6
airflow6
kubernetes-cluster6
Programming languages (6)
Github contributions (5)
cluster-apps-on-docker/spark-standalone-cluster-on-docker
Jul 2020 - Dec 2020
Learn Apache Spark in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
Role in this project:
DevOps Engineer
DevOps EngineerContributions:8 releases, 1 review, 185 commits in 6 months
Contributions summary:André primarily focused on building and configuring the infrastructure for a Spark standalone cluster on Docker. Their contributions included creating Dockerfiles for base images, Spark master and worker nodes, and a JupyterLab interface. They also developed scripts for building and managing the Docker images, including versioning and cleanup tasks. Additionally, the user created a CI workflow for automated image builds and pushes, improving the project's build and deployment processes.
pythondata-sciencejupyter-notebookdockerapache
cluster-apps-on-docker/kafka-cluster-on-docker
Aug 2020 - Sep 2023
Learn Apache Kafka in Scala, Python (PySpark) and R (SparkR) by building your own cluster with a JupyterLab interface on Docker. :zap:
Contributions:2 PRs, 6 pushes, 7 branches in 3 years 1 month
dockerkafkapython
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