Started as an operations engineer of GPU supercomputer in 2009, I worked in data analysis and devops spheres, until in 2013 I started to explore the world of DWH. For the next four years I was head of administration of one of the most technologically advanced Fintech Data Warehouses (DWH) in Russia. Now, all the experience that I collected before, helps me to build flexible and effective data solutions for customers.
My area of interest includes, but is not limited to: analytical databases, machine learning, cluster computing, monitoring and visualizing, data pipes, etc.
I am a Product Owner with 8 years of experience in BigData. Strong skills in building data processing information systems and applications around them.
Now I specialize in ClickHouse – customer consulting, DB integrations, contributing to main ClickHouse open source project.
Enterprise Data Platform Based on Open Source Software: as Simple as Possible
The last few years in the sphere of data warehouses (DWH) are best described by one phrase: the game has changed. In contrast to the mono-vendor solutions of the past, the modern data landscape is not represented by a single silver bullet system, or even several systems from one vendor. A business that wants to gain a competitive advantage from the available data is forced to use dozens, if not hundreds, of various components and systems, each effectively solves its narrow task.
At the same time, there is a growing tendency to abandon vendor lock-in solutions – now companies are increasingly choosing open source solutions. This allows them to diversify the risks of contractors and vendors, simultaneously opening the door to accumulate internal expertise on technologies with their subsequent independent support.