R

Ronald Ward

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Red Lion, Pennsylvania, United States

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Jobs verified_user 0% verified
  • Netflix
    Senior Software Engineer - Cloud Infrastructure
    Netflix
    Nov 2023 - Current (3 years 1 month)
    Global streaming platform (250M+ subscribers, petabyte-scale data infrastructure)
    Leading design and implementation of real-time ML infrastructure powering Netflix's personalization and AI/ML workloads.
    • Architected a real-time feature store on Netflix's petabyte-scale AWS S3 data lake using Apache Iceberg for ACID transactions
    and upserts, creating a unified real-time data layer that eliminated the need for a standalone feature store and reduced
    infrastructure overhead
    • Engineered a millisecond-latency feature serving layer combining EVCache and DynamoDB, delivering real-time feature values to
    recommendation and personalization models with single-digit millisecond p99 latency at Netflix's full subscriber sca
  • Capital Group
    Senior Manager - Cloud Data Architecture
    Capital Group
    Jul 2022 - Nov 2023 (1 year 5 months)
    One of the world's largest investment management firms ($2.6T+ AUM, regulated financial services)
    Built and led a team of 6 to create a federated data platform that unlocked the firm's first Al-driven investment research
    initiatives.
    • Architected a federated data mesh on AWS using Lake Formation and Collibra, implementing a "data product" paradigm where
    each business domain published datasets with defined SLAs, schemas, and access policies - reducing dataset discovery time
    from weeks to hours
    • Built a centralized data catalog indexing all enterprise data assets with automated lineage tracking, providing end-to-end audit
    trails that satisfied SOX and SEC compliance requirements and unblocked the firm's fi
  • Google
    Software Engineer - Google Cloud Platform
    Google
    Dec 2017 - Jul 2022 (4 years 8 months)
    Google Cloud Platform (BigQuery storage team and Cloud Dataflow service team)
    Optimized core GCP storage and data processing infrastructure for AI/ML workloads, directly improving cost and performance for
    thousands of enterprise customers.
    • Optimized BigQuery's internal columnar storage engine (Capacitor) for ML workloads, enabling efficient filtering and projection
    of training data directly from storage - reducing time and cost for teams preparing terabyte-scale ML training datasets by up to
    40%
    • Contributed to early BigQuery ML feature development enabling users to create and run ML models directly in BigQuery using
    SQL, tightening the integration between storage and compute that made BigQuery the de f
  • Amazon Web Services
    Software Development Engineer - Amazon GameSparks / Game Studios
    Amazon Web Services
    Oct 2014 - Nov 2017 (3 years 2 months)
  • A
    Software Development Manager
    Amazon Pinpoint Mobile Analytics
    Oct 2014 - Sep 2016 (2 years)
    • Designed and implemented core components of Amazon Pinpoint's event ingestion pipeline using Kinesis, Lambda, S3, and
    DynamoDB, contributing to a system processing over 1 billion events daily
    • Led development of Pinpoint's A/B testing feature and managed a cross-functional engineering team across Pinpoint and Mobile
    Analytics from beta through GA launch
  • Cake
    Director of Database Engineering
    Cake
    Jan 2012 - Oct 2014 (2 years 10 months)
    Marketing analytics platform (performance marketing and affiliate tracking)
    • Led database modernization and cloud migration from on-premise SQL Server/MySQL to AWS RDS, improving query
    performance by 300% and reducing infrastructure costs by 30%
Education verified_user 0% verified
  • University of California, Los Angeles (UCLA)
    Bachelor's Degree
    University of California, Los Angeles (UCLA)
    Sep 2008 - Jun 2012 (3 years 10 months)