PEER39
Dani Shamir is a seasoned Data Engineer with extensive experience in building robust data solutions across various industries. Currently serving at PEER39 since February 2020, Dani is integral to the R&D analytics engineering team, developing high-volume production data lakes and automated insights using Python and SQL within AWS environments. Prior to this role, Dani worked at Bank Leumi as a Data Engineer, focusing on ETL flows for machine learning modeling in Big Data, and created a Feature Store for data scientists. Dani's career also includes roles as a BI Developer at Harel Insurance & Finance, Senior BI Developer at Telefonica Digital, Project Manager at Comverse Technology, Custom Developer at Top Image Systems, and BI & DWH Developer at Oracle. Dani holds a BSc in Mechanical Engineering and an MSc in Quality Assurance Engineering from the Technion - Israel Institute of Technology.
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PEER39
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Peer39 invented the category of Pre Bid non-cookie based data starting with Semantic-based contextual categories, then Brand Safety and then Page Quality. Since then it has continued to scale at the pace of RTB, and has brought to market many meaningful data points that advertisers find valuable, and predictable to use to scale their performancecampaigns.For Brands, Advertisers, and Traders looking for performance and scale from their digital media, Peer39 offers the largest and most scaled set of data available from any data provider on the market