• Responsible for Data systems transformation and optimization through modernization• Drive process and infrastructure automation to achieve efficiency• Structure strategy, programs, and deliver on data systems cloud PaaS/SaaS on-boarding• Partner with business to plan decommissioning of business applications to modernize and on-board to cloudOZON is a leading multi-category e-commerce platform and one of the largest internet companies in Russia. It has one of the most extensive fulfillment and delivery networks among the country's e-commerce players, enabling Ozon to provide more than 40% of Russia’s population with next day delivery options via couriers, pick-up points or parcel lockers. Its logistics footprint and fast-developing marketplace platform allow thousands of entrepreneurs to sell their products all across Russia and offer millions of customers one of the widest selections of products in multiple categories. In addition, Ozon is continuously expanding its value-added services, such as fintech, and developing new verticals like Ozon Express online grocery delivery.

• Ensuring the technological superiority of the company in the market• Determination of the system architecture in accordance with the business strategy• Minimization of maintenance and operation costs• Ensuring the security of customer data and company algorithms• Product quality assuranceAn AI-powered “real-time” optimisation algorithm that generates human-like recommendations for air fleet operators to schedule their fleet and crew.Unlike existing solutions, we do not divide a crew scheduling problem into a series of consecutive subproblems that is time-consuming and could lose efficiency.We have a holistic approach - we take all the data and find the optimal schedule for fleet and crew. The holistic approach is how small operators are willing to do their schedule because it is crucial.We use a meta-optimization approach with the Gurobi optimiser MILP solver adjusted by ML's insights from the operator's historical data

• Responsible for presales and production. Major KPI: margin.• Lead architect of core Big Data projects for enterprise clients in the financial sector and retail• Pre-sale activities with top clients, interacting with C-level stakeholders• Resource manager for more than 50 people in two cities (Moscow and Saint-Petersburg)• Successfully finished more than 15 projects of different sizes and budgets using a huge amount of technologies (Big Data, ML, BI/DWH, OTM, C++)• Implementation of CI/CD and test automation practice to the projects• Design of architectural blueprints and best practicesAchievements:• Creation of a big data direction in the top 3 integrator from scratch• Creation of a new branch office in St. Petersburg• Growth in the direction over the past three years - more than 80% per year• Projects with the largest companies in finance, retail, manufacturing

• Development team management• Strategic product management• Setting up and optimizing development processes• Coordination, planning, setting and control of tasks• Team motivation and training• Architecture development• Expert assessment and implementation assistance• Implementation of ETL processesMain achievements:• Implemented a new testing system, which allowed to reduce the testing time by 30%, while improving the quality of the software by 3 times (by the number of bugs)• Trained a new team in a short time, after changing half of the team• Introduced internal development standards, which increased code quality, reduced testing time and simplified software support• Established a trusting relationship with the customer's business users