He is responsible for analyzing technological trends and implementing them into the projects realized at the edge of IT and business, with special concern for Big Data technologies (including Apache Hadoop and Apache Spark). Kamil is leading the Data Management Department and is operationally engaged in architecture design and technology recommendation. He has hands-on experience in designing, implementing and delivering complex Big Data architectures that are leveraged to automate advanced analytics, including deep learning, for customers from financial services, telco, industry, social media and healthcare.
