A Senior Technical Thought Leader, with 22 years of experience in wide range of cloud and client technologies along with deep expertise in Analytics. * Expert and mentor of Big Data, Data intelligence platform internally and externally. * Analytics guru of consumer domain, digital data security domain. * Brought-in data driven culture and created high velocity analytics teams. * Accomplished cloud architect, built user success and analytics platform which have enabled McAfee to take right decisions on product features and marketing. * Won high valued partner contracts with valued insights. * Built data intelligence platform which is serving 11 products and 5 billion + touch points (device/ user) * Shaped high velocity data engineering, governance, analytics, science teams * Change agent bringing in culture of data and analytics, Insights helped reduce user drop rate on purchase from 98% to 8%. Created several tools which resulted in 35% reduction in analytics development cycle * Strengthened cross-product values: AppInsights API and Real-Time store has enabled utilisation of sensory data across consumer products to visually present McAfee value to partners and their end users this resulted in ~17% revenue growth. * Built optimised solutions for business specific use cases. Scaled Analytics Platform to ~5 billion touch points across 11 products using Big Data technologies Kinisis, Kafka, AWS API Gateway, Hadoop, Impala Power BI, Tableau, Snowflake * Expertise in Data Cataloguing, Transformation (dbt), Data lineage, Data mess, Popularised data certification concepts. * Expert in Device to Cloud Architecture: Built cross platform SDKs used cross McAfee products. Built multiple heterogeneous cloud frameworks using captive data center, and public clouds (aws, azure). Eg. App Insights APIs, real-time store serving 15+ external Partners * At PubMatic Built AdServer to Monetize Publisher inventory - Scaled infrastructure to handle terabytes of daily data and designed real time bidding system with sub millisecond response. This helped company to compete with Google and PubMatic a startups revenue reached to 100 million. * At MOTOROLA - Built mobile network optimization recommendation system by churning call details logs on Hadoop eco-system. I had introduced Hadoop in year 2006 in Motorola as initial adaptor of BigData eco-system * At Sinosef / Bangalore s/w solutions and services - Built auto auto blood count detectors using blood slides. Anomaly detectors in blood cells using image analysis taken from microscopes.