About

Amogha Shanbhag is a seasoned professional with over 13 years of experience in Internet of Things (IoT), Big Data Analytics, Applied Machine Learning, Cloud, and Micro Services. He is currently working as a Staff Engineer and Architect I at Samsung, where he is responsible for developing the company's IoT Analytics Data warehouse and Recommendation engine. Amogha has a Master of Science (M.S) in Computer Science from BITS Pilani, and he is a strong engineering professional with end-to-end expertise in building enterprise-level solution architecture and design. At Samsung, Amogha has been instrumental in designing and developing a commercial solution of IoT Data warehouse, which serves as a Single Source of Truth (SSoT) for the entire IoT data for Samsung. He has managed a team of 16 to achieve this, and he is also the code maintainer for Samsung's IoT DW stack to maintain the sanctity of the stack. Amogha has extensive experience using AWS technologies, such as Athena, Redshift, S3, Glue, EMR, EC2, EKS, Spectrum, Data-pipeline, and other big data technologies for leading large-scale data warehousing and analytics projects. Amogha is also an innovator and has been granted eight patents and published four papers in various international conferences. He has led the Innovation TF's in Paper and Patent domains to participate, guide, and review the innovative activities. Some of the keywords that describe Amogha's technical expertise include Big data Architecture, Data Warehousing, AirFlow, Scala, Python, Spark, Decision Making, SQL, Tableau, Terraform, Pattern Mining, ARM, Clustering, Bootstrapping, Applied AI, Messaging (Kinesis, Kafka, RabbitMQ), Container (Docker, Kubernetes), Database (Postgres, MySQL, Redshift, Hbase, Mongo, DynamoDB), Agile, and Scrum. In summary, Amogha Shanbhag is a highly skilled and experienced professional with 15.62 years of relevant experience. He has a strong technical background and expertise in IoT, Big Data Analytics, Applied Machine Learning, and Cloud. He has a proven track record of designing and developing commercial-grade solutions for large-scale data warehousing and analytics projects. He is also an innovator with several patents and publications to his credit.