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Aidong Chen
Executive Data Platform Engineer specializing in kdb+/q and time-series systems
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About
Veteran kdb+/q engineer with 17 years of experience applying time-series architecture across finance, autonomous driving, semiconductors, and scientific data systems. He describes building high-scale CEP and sensor-data parsing systems, achieving a 10x ingestion speedup through storage redesign, and even contributing the original remote_execute concept to PyKX.
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Key Strengths
- 17 years of kdb+/q experience
- built production CEP and snapshot statistics systems for large-scale trading workloads
- deep expertise in kdb+ architecture across tick plant, RDB, HDB, and IDB layers
- strong performance tuning in q, including attributes and functional query patterns
- schema-driven parsing for complex semi-structured sensor and wire data
- cross-domain time-series expertise spanning finance, autonomous driving, semiconductors, and scientific detector data
- storage architecture optimization and hot/warm/cold tiering strategy
- 10x ingestion improvement by distributing I/O across 12 disks
- ported a 2-petabyte HDB from KxControl to KxInsight
- bridges Python and q ecosystems, including contribution to PyKX remote_execute
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