Ari Sharon is a software engineer with 11 years of experience building high-throughput big data and cloud-native systems, currently contributing at Google from New York. He has designed and operated real-time ETL pipelines processing ~100K events/sec and end-to-end data platforms on AWS (Kinesis, Redshift, DynamoDB, S3), with hands-on expertise in Java, Python and NoSQL datastores. Ari combines systems-level C/C++ background in networking and device management with modern analytics and Spark/EMR skills, enabling both low-latency services and large-scale batch processing. He has taught data science topics—ML, NLP, Spark—bringing pedagogy to engineering as a former General Assembly instructor. Colleagues value his operational ownership and habit of adopting emerging technologies to solve production-scale problems.
12 years of coding experience
5 years of employment as a software developer
Data Science Course, Data Science Course at General Assembly
Bachelor's Degree, Computer Science, 88 (A), Bachelor's Degree, Computer Science, 88 (A) at Tel Aviv University
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