About

Anish P is a strategic leader and big data thought leader with over 18 years of experience in leading multinational organizations. He has a proven track record of formulating and translating business vision and strategies into products and businesses that have generated maximum ROI. Anish has expertise in mentoring, building, and managing high-performance distributed technology teams handling development of complex business solutions at an enterprise scale involving large data volumes and concurrency. Anish is passionate about technology and technical solutions, with wide-ranging expertise providing technical solutions for Retail, Health Care, Telecommunication, and Financial verticals. He has technical expertise in Big Data, Hadoop Eco-system, Apache Spark, and Apache Flink. Anish is a results-oriented, decisive leader in the Big Data space that combines an entrepreneurial spirit with corporate-refined execution in Big Data strategy, Big Data consulting, implementations, and architecture. Anish is currently the Founder of dataflair web services, where he is heading the Big Data Practices Division, Consulting Division, and providing training on Big Data and Hadoop. He is leading the team for the development of the product "Mobile Analytics" and helping clients to solve their unsolvable problems using Big Data Technologies. Anish has deployed several Big Data technologies at multiple client locations in production with best practices. He is also a frequent speaker in Big Data conferences. Anish has worked for companies like mu sigma and infosys in the past, where he handled Big Data/Hadoop departments, worked on multiple products of Big Data Analytics, and implemented projects in domains like Banking, Retail, and Telecommunication. Anish has an MS in Computer Science from BITS and a Bachelor of Technology (B.Tech.) in Computer Science from the Indian Institute of Technology, Bombay. Anish's areas of expertise include Big Data Architecture, Implementations, Design, Development, and Deployment, Hadoop Solution Architecture, Design, Development, Implementations, Deployment & Administration, Hadoop, MapReduce, Hive, HBase, Flume, Pig, Hue, Spark, Storm, Kafka, Greenplum, Apache Flink, Apache Spark, Scala, NoSQL, Cassandra, MongoDB, CouchDB, Neo4J, Cloud Computing, Mobile Computing, Open Source, C, Java, J2EE, SOA, C#, Social Media Analytics, Real Time Analytics, Big Data strategy, Product Development, R&D portfolio management, Thought Leadership, and Technical Pre Sales.