Ingesting, loading, and processing of data coming from Industry 4.0 industries such as smart city related industries, weather, traffic, road, vehicles, etc., is slow due to the sheer quantity of data, and costly due to inefficient big data processing technology. Geo-Hiker can improve processing speed and quality as well as reduce TCO cost through its robust AI-based Spatio-temporal indexing and ML algorithms with minimal migration needed from the client. Since Geo-Hiker is a middleware, developed to boost existing big data systems, it can also be used base architecture for new big data systems. Geo-Hiker has been used to power other vertical products including 1) South Korean government’s COVID-19 Contact Tracing System (aka Epidemiological Investigation Support System) allowing accurate contact tracing in less than 5 minutes per person, 2) Smart City Data Hub which enables fast and cost-efficient data collection, indexing, and storage for all data produced by smart cities, 3) and Electronic Smart Label (ESL) solution, which takes electronic shelf labels beyond traditional retail shelves to smart factories, smart warehouses, smart hospitals, etc.