Our Senior Data Leadership
We are a team of senior-level "player-coaches" who own the strategic outcome.Experience-Driven Advisory
Our team members each bring over 20 years of hands-on experience, ensuring every strategy is technically sound and drives tangible business value.
Mikhail Lyukmanov
Founder & Principal Strategist
Technology Executive and Founder with expertise in the design and delivery of cost-effective, highly scalable, and high-performance technology solutions. Specializing in strategic and operational data planning, team alignment, and de-risking major cloud modernization programs. A customer-centric leader with a proven record of translating complex technical vision into clear business outcomes across global, geo-distributed teams. Experience in leading engineering teams at Meta, Amazon AWS and Google.
Yuriy Margulis
Principal Data Architect
Yuriy has over 30 years of versatile software engineering experience including 18 years of Data Warehousing, Data Engineering, and Big Data architecture. He provides hands-on expertise with data warehouse design, robust data pipeline development, and optimizing complex deployments across various cloud environments. He ensures that our strategies are built on a solid, high-performance, and scalable technical foundation.
Lana Karpilovskiy
Data Governance & ETL Specialist
Data professional with over 20 years of experience specializing in data governance, ETL/ELT design, and query performance tuning. Lana brings extensive knowledge in the data warehouse life cycle, ensuring high data quality, and implementing robust operations support. Her expertise is critical to de-risking cloud migrations and ensuring the security and compliance of enterprise data assets.
Mark Anikst
AI & Solutions Architect
Expert in Speech Recognition and AI with over 20 years of experience in developing innovative solutions. Mark specializes in natural language processing (NLP), machine learning, and artificial intelligence applications for enterprise-scale systems. He leads our practice in building the robust, data-backed Generative AI foundations and RAG pipelines necessary for reliable enterprise applications.
