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Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
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Data Engineering
AI Engineering
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Home
Data Engineering
AI Engineering
Home
Data Engineering
AI Engineering
The Blueprint of a Data Team: Roles, Responsibilities, and Specializations
Andrey Sydelov 4/27/26 Andrey Sydelov 4/27/26

The Blueprint of a Data Team: Roles, Responsibilities, and Specializations

A data team’s success hinges on clear roles and collaboration. Explores how roles evolve, adapt to company needs, and align through a RACI matrix to deliver reliable data with minimal friction.

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Data Modeling: From Basics to Advanced Techniques for Business Impact
Andrey Sydelov 4/21/26 Andrey Sydelov 4/21/26

Data Modeling: From Basics to Advanced Techniques for Business Impact

Explore data modeling from basics to advanced techniques like Data Vault 2.0 and Anchor Modeling for business impact.

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Data Mesh vs. Data Fabric: The Future of Data Management
Andrey Sydelov 4/21/26 Andrey Sydelov 4/21/26

Data Mesh vs. Data Fabric: The Future of Data Management

Compare Data Mesh vs. Data Fabric for modern data management and their impact on business scalability.

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Kimball vs. Inmon: High-Level Design Strategies for Data Warehousing
Andrey Sydelov 4/21/26 Andrey Sydelov 4/21/26

Kimball vs. Inmon: High-Level Design Strategies for Data Warehousing

Compare Kimball vs. Inmon approaches to data warehouse design and their impact on business analytics.

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Slowly Changing Dimensions: Strategies for Maintaining History and Integrity in Analytical Systems
Andrey Sydelov 4/17/26 Andrey Sydelov 4/17/26

Slowly Changing Dimensions: Strategies for Maintaining History and Integrity in Analytical Systems

Slowly Changing Dimensions (SCD) are essential for maintaining historical accuracy in data systems where context evolves over time. This in-depth guide explores all SCD types, their engineering trade-offs, and practical strategies for designing dimensional data that preserves meaning — not just metrics.

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The Modern Data Platform: Foundation for Scalable Business Intelligence
Andrey Sydelov 4/14/26 Andrey Sydelov 4/14/26

The Modern Data Platform: Foundation for Scalable Business Intelligence

Discover how a modern data platform unifies data, boosts business intelligence, and drives decisions with real-world fintech and ecommerce examples.

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The current standard for scalable, real-time, and AI-ready data platforms
that are reliable and adaptive.

Modern Data Architectures

Data Engineering · AI Solutions · Cloud Platforms‍

© 2026 Andrey Sydelov. All rights reserved

Cyprus | Ukraine | Remote Worldwide

andrey@sydelov.com

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