Andrey

Senior Data Engineer & Platform Architect with expertise in designing high-load systems, scalable data platforms, and ML infrastructure.

Joined on Jun 26, 2025

Pinned

Andrey

Jul 31

Kubernetes Under the Hood - Internal Mechanisms and Networking

#devops #kubernetes #dataengineering #distributedsystems

13 min read

Andrey

Jul 29

Kubernetes Foundations - Architecture and Core Components

#kubernetes #devops #development #distributedsystems

12 min read

Andrey

Jul 24

Apache Spark Deep Dive: Architecture, Internals, and Performance Optimization

#bigdata #dataengineering #spark #distributedsystems

12 min read

Andrey

Sep 18

Real-Time CDC with Debezium and Kafka for Sharded PostgreSQL Integration

#dataengineering #bigdata #database #analytics

9 min read

Andrey

Sep 16

Sagas vs ACID Transactions: Ensuring Reliability in Distributed Architectures

#sql #dataengineering #database #analytics

11 min read

Andrey

Sep 11

ACID, Isolation Levels, and MVCC: Architecture and Execution in Relational Databases

#sql #dataengineering #analytics #bigdata

10 min read

Andrey

Sep 9

Mastering MLflow: Managing the Full ML Lifecycle

#dataengineering #datascience #machinelearning #devops

9 min read

Andrey

Sep 4

Anomaly Detection in Financial Transactions: Algorithms and Applications

#analytics #datascience #dataengineering #machinelearning

10 min read

Andrey

Sep 2

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

#datamanagement #dataengineering #bigdata #datagovernance

10 min read

Andrey

Aug 28

Building High-Load API Services in Go: From Design to Production

#go #api #dataengineering #softwaredevelopment

23 min read

Andrey

Aug 26

Data Modeling: From Basics to Advanced Techniques for Business Impact

#datagovernance #datamodeling #dataengineering #sql

13 min read

Andrey

Aug 21

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

#datamanagement #dataengineering #datamesh #datafabric

6 min read

Andrey

Aug 19

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

#datamanagement #dataengineering #database #bigdata

6 min read

Andrey

Aug 14

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

#dataengineering #dataquality #datamonitoring #sql

8 min read

Andrey

Aug 13

Engineering with SOLID, DRY, KISS, YAGNI and GRASP

#dataengineering #softwareengineering #softwaredevelopment #software

16 min read

Andrey

Aug 7

Kubernetes Best Practices - Deployment and Troubleshooting

#help #kubernetes #dataengineering #devops

9 min read

Andrey

Aug 5

Kubernetes in Depth - Storage, Security, and Advanced Features

#devops #kubernetes #dataengineering #distributedsystems

6 min read

Andrey

Jul 22

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

#dataanalytics #dataengineering #datamodeling #datagovernance

8 min read

Andrey

Jul 17

Cross-Platform Multi-Channel Attribution in Marketing: Balancing Costs and Results Across Devices

#analytics #marketing #attribution #dataengineering

5 min read

Andrey

Jul 15

Beyond Ping: Crafting Modern Networks That Work and Stay Secure

#cloud #network #systemdesign #architecture

4 min read

Andrey

Jul 10

Why Your Data Fails You - and How a Data Platform Can Fix It

#cloudstorage #dataengineering #datagovernance #cloudcomputing

4 min read

Andrey

Jul 8

Cloud Data Tools Simplified: AWS, Google Cloud, and Azure

#cloudstorage #dataengineering #datagovernance #cloudcomputing

7 min read

Andrey

Jul 3

What Data Engineers Really Do: From Pipelines to Trust and Impact

#dataengineering #datamanagement #analytics #datagovernance

4 min read

Andrey

Jul 1

Why Data Formats Matter More Than You Think

#dataengineering #datastructures #dataformats #apacheparquet

19 min read

Andrey

Jun 27

Introduction to MLOps: Managing the Machine Learning Lifecycle

#devops #machinelearning #deeplearning #monitoring

4 min read

Andrey

Jun 26

4 Types of Analytics That Matter

#analytics #data #management

4 min read

DEV Community

Andrey

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Pinned

Kubernetes Under the Hood - Internal Mechanisms and Networking

Kubernetes Foundations - Architecture and Core Components

Apache Spark Deep Dive: Architecture, Internals, and Performance Optimization

Real-Time CDC with Debezium and Kafka for Sharded PostgreSQL Integration

Sagas vs ACID Transactions: Ensuring Reliability in Distributed Architectures

ACID, Isolation Levels, and MVCC: Architecture and Execution in Relational Databases

Mastering MLflow: Managing the Full ML Lifecycle

Anomaly Detection in Financial Transactions: Algorithms and Applications

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

Building High-Load API Services in Go: From Design to Production

Data Modeling: From Basics to Advanced Techniques for Business Impact

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

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

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

Engineering with SOLID, DRY, KISS, YAGNI and GRASP

Kubernetes Best Practices - Deployment and Troubleshooting

Kubernetes in Depth - Storage, Security, and Advanced Features

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

Cross-Platform Multi-Channel Attribution in Marketing: Balancing Costs and Results Across Devices

Beyond Ping: Crafting Modern Networks That Work and Stay Secure

Why Your Data Fails You - and How a Data Platform Can Fix It

Cloud Data Tools Simplified: AWS, Google Cloud, and Azure

What Data Engineers Really Do: From Pipelines to Trust and Impact

Why Data Formats Matter More Than You Think

Introduction to MLOps: Managing the Machine Learning Lifecycle

4 Types of Analytics That Matter