Creating secure Data exploration infrastructure is not easy, especially in GDPR era. "Productionisation" of algorithms developed by your Data Science team is not a trivial task either and usually requires involvement of Data Engineers. In this talk we're going to see how existing open source tools can be used for building a self-service infrastructure allowing researchers develop in a secure way, and deploy their models into production as is, thus reducing time to market dramatically.