Accomplished executive in big data infrastructure, architecture and intelligence in Consumer, Retail, IOT, Mobile, Finance, Ecommerce and VOIP industries; Seasoned professional in big data mining and machine learning in a variety of areas including credit/debit card fraud detection, marketing, mobile recommendation.1. Design big data architectures for distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time2. Migrate terabytes to petabytes data to AWS cloud, and Google Cloud or Microsoft Azure3. Provide big data platform for Data Scientists, Data Analysts, Business Analysts and 3rd party data partners4. Integrate big data infrastructures, big data ingestion, big data intelligence, machine learning and deep learning to provide end-to-end big data solutions for multiple clients.5. Launch and maintain multiple big data clusters such as Cloudera/Hortonworks Data Flow (CDF) for data streaming, Cloudera Data Platform(CDP) for data processing, Aerospike NoSQL database for data storage, Kubernetes cluster for microservices6. Combine data ingestion, data processing, data analysis, machine learning together on cloud environments along with traditional database and business intelligence7. Build big data solution in multiple industries such as Retail, Finance, IOT, Ecommerce and VOIP8. Provide big data solution for multiple clients such as L-Brands (Victoria’s Secret & Pink), Scotts Miracle-Gro, Weleda, San Diego Gas & Electric, in-n-out, Phone.com, etc