Nariman Baubekov

Data Engineer. Building data pipelines and breaking down data architectures. Writing to solidify my knowledge and help others learn the modern data stack.

Astana, Kazakhstan Joined on Aug 10, 2026 https://www.linkedin.com/in/nariman-baubekov-4bb232167/

Nariman Baubekov

Sep 8

PyArrow, Explained: How Zero-Copy Actually Works, and Why It's Everywhere

#dataengineering #python #bigdata #pyarrow

10 min read

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Nariman Baubekov

Sep 7

From Detection to Production: A PII-Safe Pipeline in Python and DuckDB

#dataengineering #duckdb #dataprivacy #security

6 min read

Nariman Baubekov

Sep 7

Mask, Hash, Tokenize, or Encrypt? Choosing the Right PII Protection for Your Pipeline

#dataengineering #security #dataprivacy #gdpr

6 min read

Nariman Baubekov

Sep 7

You Can't Protect What You Can't Find: Detecting and Classifying PII in Data Pipelines

#dataengineering #python #dataprivacy #gdpr

8 min read

Nariman Baubekov

Sep 6

Parquet, Explained: How One File Format Quietly Won the Data World

#dataengineering #bigdata #parquet

20 min read

Nariman Baubekov

Sep 6

Kimball's Last Hard Problem: When There Is No Right Grain

#dataengineering #datamodeling #datawarehouse #kimball

12 min read

Nariman Baubekov

Sep 6

Kimball for Many-to-Many: Bridge Tables, Weighting Factors, and the Diagnosis Code Problem

#dataengineering #datawarehouse #datamodeling #kimball

11 min read

Nariman Baubekov

Sep 6

Kimball for Order Fulfillment: Milestones, Split Shipments, and Facts That Arrive Late

#dataengineering #datamodeling #datawarehouse #kimball

12 min read

Nariman Baubekov

Sep 6

Kimball for SaaS: Subscriptions, MRR, and Churn, Modeled Right

#dataengineering #kimball #datamodeling #database

14 min read

Nariman Baubekov

Sep 6

Kimball Dimensional Modeling, Explained Through a Coffee Shop

#dataengineering #datamodeling #datawarehouse #kimball

15 min read

Nariman Baubekov

Sep 4

Normalize It, Then Break It On Purpose: 3NF to Star Schema, Explained Through Food Delivery

#dataengineering #sql #datamodeling

10 min read

Nariman Baubekov

Sep 2

Testing Data Pipelines Like You Mean It: A pytest Crash Course for Data Engineers

#python #dataengineering #testing #pytest

18 min read

Nariman Baubekov

Sep 1

Security & Governance for Data Networking

#dataengineering #vpc #governance #security

5 min read

Nariman Baubekov

Sep 1

Multi-VPC and Multi-Project Architectures

#dataengineering #cloud #networking #aws

4 min read

Nariman Baubekov

Sep 1

Private Connectivity to Data Services: Closing the Last Gap

#dataengineering #vpc #cloud #aws

5 min read

Nariman Baubekov

Sep 1

The 3-Tier VPC: Building a Real Architecture

#dataengineering #networking #security #cloud

6 min read

Nariman Baubekov

Sep 1

VPCs Compared: AWS vs GCP

#vpc #aws #gcp #dataengineering

7 min read

Nariman Baubekov

Sep 1

Why Your Pipeline Can't Talk to Anything: VPC Fundamentals for Data Engineers

#dataengineering #cloud #networking #vpc

9 min read

Nariman Baubekov

Aug 31

Teach Your Query Engine to Ignore Most of Your Data: A Field Guide to Partitioning, Clustering, Sorting, and Bucketing

#dataengineering #database #bigdata

16 min read

Nariman Baubekov

Aug 31

Compute Now or Compute Later: A Data Engineer's Guide to Temp Tables, Views, and CTEs

#sql #dataengineering #database

11 min read

Nariman Baubekov

Aug 31

RBAC in PostgreSQL: A Field Guide for Data Engineers

#postgres #dataengineering #security #sql

10 min read

Nariman Baubekov

Aug 31

Two Clouds, One Identity Crisis: AWS vs. GCP IAM for Data Engineers

#cloud #aws #gcp #security

11 min read

Nariman Baubekov

Aug 30

Failing Gracefully: Robust REST API Requests for Data Engineering

#dataengineering #api #python

15 min read

Nariman Baubekov

Aug 30

Indexes Aren't Free: A Practical Guide to When (and How) to Add Them

#dataengineering #postgres #mysql #database

19 min read

DEV Community

Nariman Baubekov

Available for

PyArrow, Explained: How Zero-Copy Actually Works, and Why It's Everywhere

Want to connect with Nariman Baubekov?

From Detection to Production: A PII-Safe Pipeline in Python and DuckDB

Mask, Hash, Tokenize, or Encrypt? Choosing the Right PII Protection for Your Pipeline

You Can't Protect What You Can't Find: Detecting and Classifying PII in Data Pipelines

Parquet, Explained: How One File Format Quietly Won the Data World

Kimball's Last Hard Problem: When There Is No Right Grain

Kimball for Many-to-Many: Bridge Tables, Weighting Factors, and the Diagnosis Code Problem

Kimball for Order Fulfillment: Milestones, Split Shipments, and Facts That Arrive Late

Kimball for SaaS: Subscriptions, MRR, and Churn, Modeled Right

Kimball Dimensional Modeling, Explained Through a Coffee Shop

Normalize It, Then Break It On Purpose: 3NF to Star Schema, Explained Through Food Delivery

Testing Data Pipelines Like You Mean It: A pytest Crash Course for Data Engineers

Security & Governance for Data Networking

Multi-VPC and Multi-Project Architectures

Private Connectivity to Data Services: Closing the Last Gap

The 3-Tier VPC: Building a Real Architecture

VPCs Compared: AWS vs GCP

Why Your Pipeline Can't Talk to Anything: VPC Fundamentals for Data Engineers

Teach Your Query Engine to Ignore Most of Your Data: A Field Guide to Partitioning, Clustering, Sorting, and Bucketing

Compute Now or Compute Later: A Data Engineer's Guide to Temp Tables, Views, and CTEs

RBAC in PostgreSQL: A Field Guide for Data Engineers

Two Clouds, One Identity Crisis: AWS vs. GCP IAM for Data Engineers

Failing Gracefully: Robust REST API Requests for Data Engineering

Indexes Aren't Free: A Practical Guide to When (and How) to Add Them