Dmitry is a seasoned Solutions Architect/Delivery Manager with 15+ years of industry experience in the delivery of high-quality Data Warehousing, Cloud Analytics and Strategy Consulting solutions that enable business in the Financial Services, Telecom, Gaming, Insurance, and Healthcare sectors to become data-driven; leveraging on the best technology stack and engineering practices for implementation.
Efficiently led Global Reporting and Analytics processes for a Tier-1 investment bank.
Managed the overall strategy and direction for Treasury Reporting and Analytics within Deutsche Bank.
Provided end-to-end engineering for a new analytical platform that enables CIB financial resource deployment and optimization of processes for the delivery of new business insights.
Built an internal analytics solution for comScore and implemented a variety of analytical solutions for Telecom clients, including Verizon, Sprint, Mobinil,etc.
Utilized data warehousing approaches in addressing significant data volume challenges (40+ Tb) on solutions for comScore.
Managed the consolidation of granular data from network equipment and mobile devices to support network analysis.
Worked on the development and management of the architecture for a set of Data Warehousing/Analytical solutions across various industries.
Establishing a Data Analytics Center of Excellence Oracle expertise, development standards, principles, frameworks
Designed architecture and led the implementation of strategic liquidity reporting and analytics platform addressing regulatory reports and ad-hoc analytical demand.
Designed and built from scratch a modern data analytics architecture using cloud services for a client who had difficulty integrating siloed information flows to drive marketing and product analytics. This enabled their data science teams to have access to the common data lake and leverage scalability of the cloud to better drive business growth.
The Investment Banking industry hinges on faster, better data-driven decisions which are a key differentiation factor on the market. Designed and built a range of analytical solutions that supported different optimizations for revenue generation and risk control. Worked on a fundamental system that is part of the data warehouse layer for stress test scenario modelling - which allows the bank to understand the potential impact on liquidity buffers and regulatory reporting liabilities.
Built a data warehouse that collects IoT data from network equipment of large telecom service providers (Sprint, Mobilnil, Verizon) in order to predict demand and make corresponding actions to ensure clients have good service availability. The solution which started with 5 TB/day of data ingestion can process 250+ Tb of granular data. It is cost-efficient and brings on board additional market data (weather, public events, campaigns) to make the insights robust.