Manish Singh
University of Illinois at Urbana-Champaign (UIUC), USA
Marysville, Washington, United States
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Manish Singh is a Data Engineer with over 16 years of experience designing and operating large-scale data platforms and distributed processing systems across industries, including streaming media, energy, insurance, banking, and technology.
He currently works at Amazon, where he builds petabyte-scale data pipelines for Prime Video Ads, enabling analytics, experimentation, and near real-time performance monitoring. His work includes developing distributed Spark and Python pipelines, designing scalable data ingestion frameworks, and implementing experimentation platforms to support A/B testing and ad performance analysis. Throughout his career, Manish has led and contributed to major data engineering initiatives, including modernizing energy analytics platforms at Oracle, building telematics and driver behavior analytics systems at Farmers Insurance, and developing enterprise master data management (MDM) platforms across insurance, banking, and technology organizations. His technical expertise spans cloud architecture and data engineering technologies such as AWS (EMR, Glue, Redshift, Lambda), Spark, Kafka, Flink, Python, Java, and SQL. He has extensive experience in data lakes, data warehousing, distributed systems, and real-time streaming, along with strong practices in data quality, performance optimization, and CI/CD.
Manish holds a Master of Computer Science in Data Science from the University of Illinois Urbana-Champaign with a 4.0 GPA and a Bachelor’s degree in Computer Science. He is also certified as an AWS Solutions Architect and AWS Data Analytics Specialist.
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Manish Singh
University of Illinois at Urbana-Champaign (UIUC), USA
Marysville, Washington, United States
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