Andreas Kreitschmann
Data Engineering Lead @Bosch
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WORK HISTORY
Data Engineering Lead @Bosch
I lead a geographically distributed data & software engineering team. While leading the team, I maintain a strong hands-on mentality. My main responsibilities include- build a robust data backbone including components for connectivity, stream processing, APIs, web apps, big data pipelines and standardized data models- collaborate with analysts, data scientists and ML engineers on use cases ranging from reporting, ML / AI model connectivity & inference, real-time alerting etc- co-develop platform components, e.g. a K8s-based edge platform for connectivity, data preprocessing & AI inference- enable satellite engineering teams through trainings & co-innovation projects- drive standardization of software engineering, data architecture & modelling practices throughout the organization- tech stack: Python, Scala, Apache Spark, Kubernetes, Azure Databricks, ADLS, S3, Kafka, Kafka Streams, PostgreSQL, Cats Effect & fs2, Iceberg, FastAPI, HTTP4s
EDUCATION
Hochschule Mannheim
Master of Science (M.Sc.), Industrial Engineering
ESB Business School, Reutlingen University
Bachelor of Science (B.Sc.), Industrial Engineering
Duke University
Engineering/Industrial Management
Pontificia Universidad Católica de Valparaíso
Semester abroad, Ingeniería Comercial
ABOUT ANDREAS KREITSCHMANN
Data Engineering @ Bosch
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