Gerard聽Maas
Head Of Data Ingestion, Validation, And Storage
Edegem, Antwerp, Belgium
Summary
馃懁
Senior馃帗
Top SchoolGerard Maas is a seasoned software leader and principal engineer with 25+ years of experience building large-scale data and streaming platforms for automotive, IoT, and cloud-native domains. As Head of Data Ingestion, Validation, and Storage at CARIAD he leads product vision and a cross-functional team to deliver the Big Loop system that captures and curates in-vehicle data to feed next-gen ADAS ML models. He combines deep hands-on expertise in Spark, scalable JVM microservices, Kubernetes and MLOps with a track record of unifying embedded, data and AI stacks into end-to-end production systems. Gerard is the author of Stream Processing with Apache Spark, reflecting his practical focus on real-time data engineering. He鈥檚 equally comfortable mentoring teams and shipping high-performance pipelines that achieved 100x gains in past IoT projects, and brings business-facing instincts honed through R&D leadership and executive education. Based in Antwerp, he thrives on translating complex technical constraints into auditable, enterprise-ready solutions.
12 years of coding experience
25 years of employment as a software developer
Engineer Computer Science, Engineer Computer Science at Universidad Sim贸n Bol铆varExecutive Education: Programme for High Value Managers, Executive Education: Programme for High Value Managers at Alliance Manchester Business School
English, Spanish, Dutch, French
Stackoverflow
37,375reputation
2.9mreached
578answers
28questions
java
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pyspark
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Github Skills (176)
notebook10
apache-spark10
python10
hadoop10
streaming10
google-bigquery10
spark-ml10
lambda-architecture10
reactive10
r10
azure-cosmos-db10
big-data10
akka10
scale10
sql10
Programming languages (9)
Github contributions (5)
maasg/ground
Feb 2017 - Jul 2022
Contributions:2 PRs, 27 pushes, 5 branches in 5 years 5 months
data-contextvendorcontext-service
maasg/spark-notebooks
Sep 2015 - Dec 2018
Collection of useful notebooks to be used with the Spark Notebook (https://github.com/andypetrella/spark-notebook)
Contributions:54 commits, 26 PRs, 40 pushes in 3 years 3 months
notebookspark-mlsparknotebooksapache-spark
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