Person
Andreas Kretz
Data engineer and platform educator contributing practical patterns for production ML pipelines, AWS, Kafka, and modern data science platforms.
Background
Andreas Kretz describes himself in the source bio as a data engineer and “plumber of data science” who writes and talks about platform architecture, tools, and techniques for modern data science platforms.
Podcast Contributions
- From Notebooks to Production contributes data pipeline and deployment guidance for production ML using AWS, Kafka, streaming, and platform engineering practices.
Concepts Connected
- data engineering for pipelines, platforms, and streaming infrastructure.
- machine learning and production for deploying models beyond notebooks.
- tools for AWS, Kafka, and related platform choices.
Source Links
- Person source:
../datatalksclub.github.io/_people/andreaskretz.md - Podcast source:
../datatalksclub.github.io/_podcast/production-ml-pipelines-with-aws-and-kafka.md