Judit Lantos
Staff Data Engineer
Portland, Oregon, United States
Summary
👤
Senior🎓
Top SchoolJudit Lantos is a Staff Data Engineer based in Portland, Oregon with 11 years of experience building scalable data platforms and production pipelines for high‑traffic services. After leading data engineering education and fellowship programs in Silicon Valley, she spent multiple years architecting and operating Spark-centric pipelines and distributed systems at Split before joining Netflix, where she progressed from Senior to Staff Data Engineer. Her background in engineering physics and early work in medical imaging give her a strong foundation in numerical methods, signal processing and experimental rigor that she applies to data quality and performance tuning. A hands-on mentor and workshop instructor, she blends technical leadership with deep familiarity across the data ecosystem (Kafka, Spark, Cassandra, etc.), and has a knack for turning complex distributed problems into maintainable production systems. She’s equally likely to optimize a streaming job as she is to debug a subtle data skew—always with a curiosity for learning (and apparently some good cookies).
11 years of coding experience
11 years of employment as a software developer
Master's degree and Bachelor's degree Engineering Physics, Master's degree and Bachelor's degree Engineering Physics at Budapest University of Technology and Economics
English, Hungarian
Github Skills (13)
amazon5
amazon-web-services4
prototyping4
spark-ml3
aws3
apache-spark2
big-data2
scala2
spark2
debugging2
data-tools2
gocd1
flowchart1
Programming languages (1)
Github contributions (5)
InsightDataScience/anomaly_detection
Jun 2017 - Jun 2017
Contributions:48 commits, 1 PR, 1 push in 17 days
jlantos/insight-project
May 2016 - Jan 2017
Contributions:152 pushes, 2 branches in 7 months
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