Dmitry is available for hire
Hire DmitryDmitry Yaroshenko
Verified Expert in Engineering
Data Warehousing Developer
Location
London, United Kingdom
Toptal Member Since
June 18, 2020
Dmitry helps businesses transform into data-driven organizations, leveraging the best technology, cloud, and engineering practices. With expertise in data warehousing, analytics, and strategic consulting for the last 16 years, he has worked with major players in financial services, telco, insurance, technology, gaming, and utilities.
Portfolio
Perfsys Solutions
Amazon Web Services (AWS), Redshift, BigQuery, Tableau, Azure...
Planorama (AI, retail)
Python, Pentaho, Microsoft Power BI, Tableau, Redshift
CIB Deutsche Bank
Pentaho, Oracle Exadata, Tableau
Experience
Availability
Part-time
Preferred Environment
Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Tableau
The most amazing...
...program I've created was the Performing Digital Transformation program, an analytical platform for 50+ data scientists exploring 750+ terabytes of data.
Work Experience
Senior Solutions Architect
2019 - PRESENT
Perfsys Solutions
- Designed and delivered the end-to-end data warehousing solutions using cloud technologies across many customers.
- Contributed to architecture, modeling, ETL, DWH, data virtualization, and BI development.
- Migrated projects to cloud analytics.
- Created self-service analytics and prototyping using DBT and Tableau.
Technologies: Amazon Web Services (AWS), Redshift, BigQuery, Tableau, Azure, Google Cloud Platform (GCP)
Data Analytics Consultant
2018 - 2019
Planorama (AI, retail)
- Worked as an audit of the existing analytical landscape solutions.
- Implemented the migration to modern cloud analytics/data warehousing.
- Boosted current engineering processes for better SDLC and Agile data warehousing.
- Implemented new business use cases with advanced analytics and data monetization.
Technologies: Python, Pentaho, Microsoft Power BI, Tableau, Redshift
VP of Data Analytics
2018 - 2018
CIB Deutsche Bank
- Improved existing data processes by implementing an analytics platform.
- Helped and advised senior management to make faster and better decisions.
- Provided an accurate view of business financial activities, their limits, KPIs, and constraints.
- Worked on implementing agile data warehouse and a self-service BI platform.
Technologies: Pentaho, Oracle Exadata, Tableau
Data Warehouse Architect
2017 - 2018
Mukra Entertainment (Gaming)
- Designed and implemented the data warehouse/analytical platform for self-service data discovery and analyzing web users' behavioral patterns to improve firm KPIs (traffic conversion, targeting, marketing campaigns, A/B testing etc).
- Created a new analytical platform using Tableau with BigQuery and Hadoop.
- Managed huge data volumes/throughput (4Tb/day, 120Tb+).
- Defined solution architecture and led the implementation.
- Developed data modeling, dashboard, and data visualization.
- Tested and tuned performance, capacity, and scalability.
Technologies: Python, QlikView, Tableau, BigQuery, Vertica
Head of Reporting and Analytics, Treasury
2012 - 2018
Deutsche Bank
- Managed the overall strategy and direction of treasury reporting and analytics.
- Managed stakeholders demand. Offered solutions for supporting business roadmap by technical delivery.
- Designed and implemented the architecture of a multi-terabyte enterprise data warehouse.
Technologies: Impala, SAP BusinessObjects (BO), Oracle Business Intelligence Enterprise Edition 11g (OBIEE), Tableau, Oracle Exadata
Data Warehouse Architect
2012 - 2014
Comscore (Telecom)
- Implemented a variety of analytical solutions for Telecom clients including Verizon, Sprint, and Mobinil as well as building internal analytics for comScore.
- Addressed solutions such as significant data volume challenges (40+ Tb) and consolidating granular data from the network equipment and mobile devices in order to support the analysis.
Technologies: Tableau, SQL Server Integration Services (SSIS), Pentaho, Oracle, Greenplum, Vertica
Experience
Risk Management Analytics for Investment Banking
Investment Banking is the industry where faster, better data-driven decisions are forming a key differentiation factor on the market.
Overcoming various challenges (data variety, quality, availability, complexity, volume) I managed to design and build a range of analytical solutions that supported a range of optimizations in revenue-generating departments as well as risk control.
One of the systems formed the strategic fundamental data warehouse layer that becomes a solution for stress test scenario modeling to understand the potential impact on liquidity buffers and regulatory reporting/liabilities.
Technically: a multi-terabyte data warehouse, running the MPP platform with self-service Tableau/BOBJ portal.
Overcoming various challenges (data variety, quality, availability, complexity, volume) I managed to design and build a range of analytical solutions that supported a range of optimizations in revenue-generating departments as well as risk control.
One of the systems formed the strategic fundamental data warehouse layer that becomes a solution for stress test scenario modeling to understand the potential impact on liquidity buffers and regulatory reporting/liabilities.
Technically: a multi-terabyte data warehouse, running the MPP platform with self-service Tableau/BOBJ portal.
Demand and Capacity Analytics for Telco
Build a data warehouse that collects IoT data from the network equipment of large telecom service providers (Sprint, Mobilil, Verizon) in order to predict the demand and make corresponding actions to ensure clients will have the good service availability.
- 250+ Tb of granular data
- started with 5 Tb/day of data ingestion
- cost-efficient analytics, bringing additional market data (weather, public events, campaigns) to make the insights robust
- 250+ Tb of granular data
- started with 5 Tb/day of data ingestion
- cost-efficient analytics, bringing additional market data (weather, public events, campaigns) to make the insights robust
Data Vault 2.0 Certified Practitioner
A big believer and advocate of Agile data warehousing practices that could be established by a combination of Data Vault 2.0 data modeling technique and CMMI aligned SDLC processes.
Critical to being able to execute projects on a large enterprise-scale and not get stuck with the data model inflexibility as a bottleneck
Critical to being able to execute projects on a large enterprise-scale and not get stuck with the data model inflexibility as a bottleneck
Training and Education Services
Had a great experience establishing internal communities of practices for data analytics and warehousing for multiple companies.
Delivered a large number of trainings, best practices, and subject presentation to the diverse audiences, starting from less technically savvy all the way down to architects and data engineers.
Delivered a large number of trainings, best practices, and subject presentation to the diverse audiences, starting from less technically savvy all the way down to architects and data engineers.
Modernizing Data Analytics in IoT Manufacturer Company
Creating a completely new analytical platform from scratch bringing together information from numerous customer IoT devices into valuable business insights.
Challenging: data volumes (Tbs a day), semi-structured data sources, solid analytical requirements, low latency, high concurrency.
Technologies: Stitch, Segment, Redshift, Snowflake, DBT, Tableau
Challenging: data volumes (Tbs a day), semi-structured data sources, solid analytical requirements, low latency, high concurrency.
Technologies: Stitch, Segment, Redshift, Snowflake, DBT, Tableau
Video Streaming Service, Data Analytics Platform
Build from scratch the entire analytical stack for the large video streaming brokers, enabling internal analytics and share data insights with their customers (new product offering).
Tech: Tableau, BigQuery, Dbt
Tech: Tableau, BigQuery, Dbt
Skills
Languages
SQL, Python
Tools
Tableau, Oracle Exadata, Microsoft Power BI, Matillion ETL for Redshift, Impala, BigQuery, Sisense, Oracle Business Intelligence Enterprise Edition 11g (OBIEE)
Paradigms
Data Science, ETL, Dimensional Modeling, Business Intelligence (BI)
Platforms
Azure, Google Cloud Platform (GCP), Oracle, QlikView, Pentaho, Amazon Web Services (AWS)
Storage
IBM Db2, Vertica, Redshift, PL/SQL, Greenplum, SQL Server Integration Services (SSIS)
Other
Data Warehousing, Data Vaults, Qlik, Data Build Tool (dbt), Data Warehouse Design, Data Analytics, Azure Data Factory, Google BigQuery, Performance Tuning, SAP BusinessObjects (BO), ETL Tools
Frameworks
TOGAF
Education
2002 - 2007
Master's Degree in Computer Science
National University of Ukraine - Ukraine
Certifications
JANUARY 2008 - JANUARY 2012
Oracle 10G OCP
Oracle
JANUARY 2007 - PRESENT
TOGAF
opengroup.org
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