Systems in Practice
Senior data engineer building reliable data platforms, lakehouses, and analytical systems.
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Training-Ready Multimodal Data: Shards and Loaders
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From Search Demo to Data Infrastructure
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Eval Feedback Loops for Multimodal Dataset Versions
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What Comes Next for the Multimodal Lakehouse
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Ray Actors, Catalog Trust Boundaries, and Pipeline Battle Scars
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Scaling ETL Pipelines: From One Machine to Distributed Systems
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Multimodal Lakehouse Implementation Notes
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Why 8 Python Threads Can Still Use Only 1 Core
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Serverless Multimodal Data Lakehouse
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DATA PIPELINE ORCHESTRATION