Dmitry Y.

Dmitry Y.

Senior Software Engineer

United Kingdom
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About Me

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.

Work history

UpStack
UpStack
Solutions Architect/Data Warehouse Architect
2019 - Present (5 years)
Remote
  • Creating and developing innovative data solutions for clients across a broad range of industries.

Snowflake Inc
Snowflake Inc
Senior Solutions Architect
2018 - 2019 (1 year)
London, United Kingdom
  • Provide expertise for Snowflake Professional Services across EMEA and deliver dozens of digital transformation solutions with clients of Snowflake.

  • Designed new solutions that enabled 100+ data scientists to concurrently work with Pb+ data warehouses on projects for clients.

  • Acted as subject matter expert, regional technical evangelist and advocate for the Data Vault user group .

Deutsche Bank
Deutsche Bank
Vice President, Head of Reporting and Analytics
2015 - 2018 (3 years)
London, United Kingdom
  • 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.

comScore Inc
comScore Inc
Data Warehouse Consultant
2011 - 2012 (1 year)
  • 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.

Luxoft
Luxoft
Senior Data Warehouse Consultant
2008 - 2015 (7 years)
London, United Kingdom
  • 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.

Portfolio

Senior Solutions Architect - Gaming Analytics Platform
Senior Solutions Architect - Gaming Analytics Platform

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.

Head of Reporting Analytics - Risk Management Analytics for Investment Banking
Head of Reporting Analytics - Risk Management Analytics for Investment Banking

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.

Data Warehouse Architect - Demand and Capacity Analytics for Telco
Data Warehouse Architect - Demand and Capacity Analytics for Telco

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.

Education

Education
MSc. Computer Science
University of Ukraine
2002 - 2007 (5 years)
Education
TOGAF
Opengroup.org
Education
Oracle OCP
Oracle
Education
Snowflake Architect
Snowflake