Christopher Histe
Senior Data Platform Engineer
Canada
Summary
👤
Senior🎓
Top SchoolChristopher Histe is a Senior Data Platform Engineer with nine years of experience designing and operating petabyte-scale data pipelines and infrastructure. Currently on the data team at Weights & Biases (now part of CoreWeave), he specializes in dbt, Dagster, BigQuery, GCP, Kubernetes, and infrastructure as code to deliver reliable ETL, reverse-ETL, and observability at scale. He contributed upstream to the popular Dagster project by integrating W&B artifacts and improving multi-dimensional partition handling, reducing friction for ML data workflows. His background spans building serverless analytics and multi-region AWS data lakes, and he brings practical growth engineering experience from earlier roles in mobile and web platforms. A lifelong learner, he augments engineering work with product-minded growth training from Reforge and a formal CS foundation from CESI, often favoring reactive programming and serverless patterns. Quietly pragmatic, he pairs hands-on implementation with attention to developer experience and production robustness.
9 years of coding experience
7 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at CESI Ecole d'IngénieursExhange Student Program Computer Science, Exhange Student Program Computer Science at Hanyang Universitywww.reforge.com, www.reforge.com at Reforge - Retention + Engagement Deep Dive (Fall 2021)www.reforge.com, www.reforge.com at Reforge - Growth Series (Spring 2020)
English, French, German, Spanish, Korean
Github Skills (7)
orchestration10
orchestra10
data-pipelines10
data-pipeline10
python10
data-engineering10
etl9
Programming languages (11)
Github contributions (5)
dagster-io/dagster
Nov 2022 - Jan 2023
An orchestration platform for the development, production, and observation of data assets.
Role in this project:
Data Engineer
Data EngineerContributions:13 reviews, 8 commits, 7 PRs in 2 months
Contributions summary:Christopher primarily contributed to the integration of Weights & Biases (W&B) with the Dagster platform. Their work involved creating and handling W&B artifacts, addressing multi-dimensional partitions, and modifying the W&B IO manager. They fixed bugs related to deprecated parameters and enhanced the user experience through improved error messages and comprehensive examples, focusing on native handling of (multi-)partitioned assets.
operationpythonobservationschedulermetadata
wandb/dagster
Nov 2022 - Aug 2024
An orchestration platform for the development, production, and observation of data assets.
Contributions:3 PRs, 35 pushes, 5 branches in 1 year 9 months
data-analyticsoperationpythonobservationorchestration
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