Elias Freider is a seasoned software engineer with 16 years’ experience building data-intensive systems and leading teams across startups and large tech companies. Currently at Modal Labs, he specializes in data modelling and storage, and previously led analytics engineering at KRY and Spotify where he co-authored the widely used open-source workflow tool Luigi. As technical co-founder of EdQu he combined product thinking with hands-on architecture to deliver smart diagnostic learning tools, reflecting strong business acumen in addition to engineering depth. Comfortable across the full stack, Elias frequently bridges ETL, pipeline orchestration and developer-facing tools—demonstrated by substantial contributions to Modal examples and Hadoop-based analytics at scale. He blends pragmatic engineering with a curiosity for emerging technologies, often integrating tooling (e.g., Kedro, Meltano, dbt) to streamline real-world workflows.
16 years of coding experience
14 years of employment as a software developer
Master of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at KTH Royal Institute of Technology
Computer Science, Computer Science at 東京大学 / The University of Tokyo
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Role in this project:
Back-end Developer
Contributions:162 commits, 4 PRs, 14 comments in 5 years 3 months
Contributions summary:Elias primarily contributed to the backend of the `spotify/luigi` project, a Python module for building data pipelines. Their commits involved adding features like a flattener for structured data and renaming classes and files (e.g., "rule" to "task") that improved the code structure. The user also modified the scheduler and interface code, suggesting contributions related to the workflow management and execution of the data pipelines built using Luigi.
Contributions:9 reviews, 18 commits, 39 PRs in 5 months
Contributions summary:Elias contributed significantly to the Modal examples repository by implementing and updating various examples demonstrating the use of Modal for different use cases. They added examples for parallel execution and result polling, showcasing advanced functionalities of the framework. Additionally, the user integrated Kedro, implemented a Meltano example, and updated several other examples to align with the new CLI and entrypoint structure. The user also added examples for Dbt integration, and the Meltano example was also updated for loading CSV data to SQLite and a more streamlined approach for serving the deprecated Meltano UI as a webhook.
pytorchpythonmodalgpuserverless
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