Description
SUMMARY * Over 16 years of IT experience in many areas of Information Management including Data Warehousing, Business Intelligence, Analytics, Machine Learning. * Expertise in building Advanced Analytics solutions using Big Data, Data Science and Machine Learning Applications for decision support, optimization and automation. * Broad understanding of technology and proven expertise in Data Warehouse methodology, Database, and Application Architecture principals, best practices, standards, establish emerging architecture principals across the organization. * Evangelize Data Driven insights and analytics based solutions using emerging advanced technology of Cloud and Mobile, consult projects for usage of new methods and approaches to tackle business challenges and competitiveness. * Provide leadership and vision for emerging architecture and technology landscape for augmented intelligence research and discovery. * Develop Business and Technology Capability Maturity Model (BCM, TCM) for organizations and define technology road map in alignment with strategic business objectives, industry trends and tech innovations. * Experienced in implementing solutions in multiple projects at Enterprise level for Business Analytics, Information Management, and Analytics Application Development. * Solid understanding and proven hands on experience in Big Data Technologies, Hadoop and Hadoop Ecosystem including Hadoop Distributed file system (HDFS), Yarn and MapReduce Framework, HBase, Hive, HiveQL, Sqoop, Flume, Kafka, Pig, Ozzie and Zookeeper. * Provide solution to generate actionable insight from structured and unstructured data coming in both as batch and stream from disparate source systems. * Research trends, evaluate options, analyze, design and provide oversight in implementing enterprise IT solutions addressing complex areas for specific business and technical domains. Conduct vendor analysis and proof-of-concepts workshops for new technologies/solutions. * Work with business and IT owners, analysts, data engineers, application teams and infrastructure services to define and communicate solution architectures. * Define Architecture Blueprint for Building Big Data and Advanced Analytics solutions both on premise and in Cloud using Data Lake (HDFS), Data Warehouse (SQL, NoSQL), High performance in memory distributed data processing (SPARK), Analytics solutions using ML applications( AWS ML, Azure ML, Python, R). * Experienced in Data Science Practices, statistical data analysis and exploration, ML algorithms and applications. * Poses experience in vendor management, onsite-offshore delivery management, project planning and execution. * Self-starter, reliable, enthusiastic and hardworking, successfully managed several projects diligently, went extra miles for clients providing support and crisis resolution over weekends and night shifts. * Team player, ability to collaborate with multiple team, closely working experience with business partners and leadership. * Have strong analytical ability, problem solving capability with excellent communication, interpersonal and presentation skills.
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