
Igor Kulikov
Verified Expert in Engineering
Azure Developer
Warsaw, Poland
Toptal member since February 11, 2022
Igor is an accomplished and high-achieving data architect bringing 10+ years of experience in successfully implementing solutions for clients in the financial sector that require large volumes of data from multiple sources and complex models. He is motivated and results-focused with a proven track record of engaging with clients to gather and translate requirements into solutions. Igor consistently ensures that projects are delivered according to scope, schedule, value, and benefits.
Portfolio
Experience
- SQL - 20 years
- Data Architecture - 11 years
- Data Management - 10 years
- Python - 7 years
- Apache Spark - 4 years
- Microsoft Azure - 3 years
- Databricks - 3 years
- Amazon Web Services (AWS) - 2 years
Availability
Preferred Environment
Windows, Linux, Databricks, Apache Spark, Microsoft Azure, Amazon Web Services (AWS), Python, SQL
The most amazing...
...thing I've built is a data quality solution currently used by Point72, a hedge fund company.
Work Experience
Solutions Architect
DXC Technology
- Introduced data as a service (DaaS) to ensure transparency of data management in Credit Suisse's International Wealth Management (IWM) department.
- Created a prototype of a data quality solution for hedge fund's core data processing using AWS, Databricks, Apache Spark, SQL, and Python.
- Helped the client to become a cloud-ready company using MS Azure.
Data Architect
Blockchain Startup
- Coordinated the research and development activities on a decentralized marketplace project to identify decentralized solutions for data storage, data processing, data protection, and data integrity control.
- Aligned the activities to establish business processes, protocols, and quality standards.
- Maintained strong stakeholder relationships, influenced decisions, and ensured effective communication through all project stages.
Data Manager
United Credit Bureau
- Recommended design architecture and data model on a data warehouse project, including a development plan for the next 2.5 years.
- Developed a data quality assessment methodology including KPI calculation and created about 200 data quality controls.
- Led and coordinated pilot projects with both internet and telecom companies, including Yandex, Mail.ru Group, and MTS.
Senior Big Data Business Analyst
VK company (formerly Mail.ru Group)
- Developed new B2B services and solutions, including scoring, risk management, digital marketing, and CRM.
- Utilized artificial intelligence and machine learning (AI/ML) for financial service companies.
- Reviewed and implemented quality control procedures regularly, checked and provided constructive feedback.
Senior Business Analyst and Team Lead
GlowByte Consulting
- Conducted an audit of risk management systems that identified critical flaws in architecture, data quality, and RWA calculations.
- Designed the data warehouse for the risk management department before proposing the design architecture and data model that was accepted and later implemented.
- Led a team of business analysts, monitored performance, and delivered complex projects for several banks.
Risk Manager
VTB
- Produced the business requirements and the data model to implement operational risk management solutions at the risk management department.
- Supervised the development of operational risk management methodology, its implementation, and automation for VTB Group—VTB, Bank of Moscow, VTB24, VTB Capital, and other subsidiaries on the territory of the Russian Federation and abroad.
- Acted as a supervisor of the subdivisions overseeing operational risk management in the subsidiaries.
Risk Manager
Sberbank
- Managed the automation of business processes of the risk management division, including an automated credit risk assessment reducing the assessment time by up to 13%.
- Established the operational risk management unit from scratch.
- Automated the credit portfolio analysis and reporting.
Experience
IWM 3.0
The project's goal was to migrate from legacy systems to a new one and create a data-driven environment, allowing its client the best experience.
Advanced Data Quality Platform
• timeframe processing;
• cross dataset validation;
• full support of SQL syntax;
• support of multiple data sources such as files and RDB;
• could be used as a microservice.
Decentralized Marketplace
Improve Data Quality and Data Processing
Education
Master's Degree in Mathematics and Computer Science
Tyumen State University - Tyumen, Russia
Certifications
TOGAF 9 Certification
The Open Group
International Certificate in Banking Risk and Regulation (ICBRR)
GARP
Skills
Tools
Microsoft Power BI, Tableau
Languages
Python, SQL, Java, JavaScript, GraphQL
Frameworks
Apache Spark
Platforms
Databricks, Linux, Amazon Web Services (AWS), Windows, Blockchain
Paradigms
REST
Storage
RDBMS, MongoDB
Other
Data Management, Data Architecture, Enterprise Architecture, Microsoft Azure, Computer Science, Probability Theory, Statistics, Financial Risk Management, Risk Management, Data Quality, IT Audits, Data Auditing
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