0
Skip to Content
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Andrey Sydelov | Data Engineering, Cloud Architecture, ML Systems
Home
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
You Can’t Trust COUNT and SUM: Scalable Data Validation with Merkle Trees
Andrey Sydelov 4/21/26 Andrey Sydelov 4/21/26

You Can’t Trust COUNT and SUM: Scalable Data Validation with Merkle Trees

A Merkle Tree is a scalable, SQL-friendly approach to verifying data integrity — widely used in systems like Git, blockchains, and distributed databases.

Read More
What Data Engineers Really Do: It’s Not Pipelines — It’s Guarantees, Contracts, and Cost-Aware Systems
Andrey Sydelov 4/9/26 Andrey Sydelov 4/9/26

What Data Engineers Really Do: It’s Not Pipelines — It’s Guarantees, Contracts, and Cost-Aware Systems

Modern data engineering isn’t about building pipelines — it’s about building trust, reliability, and cost-aware systems. This article reframes the role and explains what experienced engineers actually do.

Read More

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

[ LinkedIn ] - [ Medium ] - [ X ] - [ GitHub ]