Jai Balani
Cybersecurity and Privacy Data Engineer
Los Gatos, California, United States
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Jai is a data engineer who specializes in large-scale data processing, building foundational data models for privacy products, and using machine learning and generative AI to improve data governance in large corporations.
He has 18 years of experience in FinTech, HealthTech, AdTech, and Media. He is currently working with four early-stage startups to implement best practices in data cloud, data engineering, and data privacy.
Jai is also an author and speaker on topics related to data security and privacy, especially in the context of children's rights and regulations. He has recently contributed to O'Reilly as an editor, and to IEEE and ACM journals as an author and peer reviewer.
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Area of Expertise
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Modern Data Stack 2.0
Mastering Real-time Processing while effectively scaling Data Quality with Lambda or Kappa Architecture
Open Data Science Conference
Unifying data processing between Structured Spark and Spark Streaming (code simplicity, cost factor)
Jai Balani
Cybersecurity and Privacy Data Engineer
Los Gatos, California, United States
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