Open to Work

Building Resilient Data Systems.

I'm Namazbek, a Data Engineer & Backend Developer. I craft high-performance pipelines, optimize SQL engines, and build reliable digital infrastructure.

NB

Namazbek Bekzhanov

Almaty, Kazakhstan

-
Repos
3+
Years
5+
Certs

DATA ENGINEERING / ANALYTICS / SQL

A clear scope.
Reliable data.

Python, SQL, PostgreSQL, dbt and Airflow are at the centre of my data work. Explore the examples below and let's discuss the problem, the expected outcome and the working schedule.

Discuss a project ↗

01 / SQL & DATABASES

Explain the slow query.

A scoped review of query plans, expensive operations and candidate changes, with a reproducible measurement plan.

SQLPostgreSQLOraclePL/SQLVerticaGreenplum
Explore the public Postgres demo ↗

The demo illustrates Postgres query analysis. Oracle, Vertica and Greenplum are separate experience areas.

02 / TRANSFORMATIONS & PIPELINES

Make the pipeline easier to trust.

A defined ETL issue, dbt data-quality improvement or Airflow reliability review. Agree on inputs, checks and ownership before implementation.

dbtAirflowETLELTData warehouseTrinoIcebergPower BI
Explore the public Python ETL demo ↗

A small Python ETL example; the listed tools describe my wider focus, rather than dependencies of this demo.

03 / PYTHON PERFORMANCE

Measure before changing.

Inspect a pipeline bottleneck, compare approaches and keep a repeatable example of the behaviour.

PythonData pipelinesProfiling
Explore the public performance demo ↗

Public learning examples. Client results and delivery estimates require an agreed scope.

Job Hunter Agent

My private workspace for targeted searches, application materials and next steps.

Open private workspace ↗

Technology Arsenal

The tools I use to build the future.

Machine Learning & AI

Scikit-learn TensorFlow PyTorch Keras NumPy Pandas

Big Data

Spark Hadoop Airflow Kafka

Cold Data

Iceberg S3 Trino Debezium

Languages

Python Go Java SQL Bash

Databases

Postgres Oracle MySQL MSSQL Vertica Sybase Replica

DevOps

Docker Git Linux FastAPI

Environment

PyCharm DataGrip DataSpell DBeaver Antigravity

Keywords Universe

Click any keyword to filter projects. Drag to explore.

Data Engineering
Software Engineering
Infrastructure
Tooling & ML

Experience & Education

A timeline of roles, research, and learning — optimized for impact and reliability.

Currently building production-grade data systems
May 2024 — Present · Almaty, Kazakhstan

Middle Data Engineer

The National Bank of Kazakhstan (Digital Development Center)
Now
Built a Vertica MPP warehouse for financial reporting and cut analytical query latency.
Built ETL/ELT pipelines in Greenplum from six state systems (ESSP, GKB, ENPF, EIVK, KASE, NPK).
Orchestrate with Airflow and transform with dbt, with data quality checks and monitoring.
Designed a Data Lake on S3/MinIO with Apache Iceberg and Trino for cold data.
Enforce row-level security with Apache Ranger; observability with Zabbix and Grafana.
Python SQL Airflow dbt Vertica Trino S3
Sep 2025 — Present · Bostandıq District · On-site

Teaching Assistant (Cloud Computing & DevOps)

Kazakh-British Technical University · Part-time
TA
Ran labs + supported lectures on cloud application development.
Guided deployments on GCP (App Engine, Cloud Functions, Cloud SQL).
Reviewed assignments and helped students debug containerized workloads.
GCP Docker Python Linux
Sep 2024 — Present · Remote

Data Software Engineering Trainee

EPAM Systems · Internship
EPAM
Strengthened advanced SQL and data modeling through real-world exercises.
Studied modern DWH/lake patterns and ETL/ELT workflows.
Built analytics/visualization deliverables with cloud-aware practices.
Python SQL Git GitLab
Jun 2024 — Dec 2024 · Almaty, Kazakhstan · Remote

Research Assistant (Computer Vision / ML)

SDU University, Kazakhstan · Part-time
R&D
Prepared datasets (LabelImg) and trained YOLO detection models.
Improved model quality via structured experiments and metric-driven evaluation.
Optimized training/inference workflows with PyTorch + Scikit-learn.
Python PyTorch CV/ML
Oct 2023 — Apr 2024 · Almaty, Kazakhstan · On-site

Core Banking Systems (Colvir CBS) Support Engineer

Bank CenterCredit · Full-time
Core
Supported Colvir CBS on Oracle, including EOD batch processing and accounting closings.
Resolved incidents with Oracle SQL and PL/SQL; wrote data correction and validation scripts.
Built automated extraction pipelines and SQL views for live Power BI dashboards.
Worked in Jira, ServiceDesk and Confluence under enterprise SLAs.
Oracle PL/SQL Power BI Jira Confluence
Feb 2023 — Sep 2023 · Almaty, Kazakhstan · On-site

Junior Database Engineer

Alma Telecommunications Kazakhstan · Full-time
DB
Built C# (.NET) background services for billing files and payment notifications.
Optimized PL/SQL procedures and triggers using execution plan analysis.
Administered Oracle databases: security, integrity checks, index maintenance.
Oracle C# .NET Linux
Education
Sep 2025 — Present

Master's degree — Computer Science and Data Analytics

Kazakh-British Technical University
Master's
Focused on Big Data, Machine Learning, AI, Data Engineering & Analytics, and Software Engineering. Building deeper expertise in Python, ML libraries, and intelligent systems.
Sep 2021 — Jun 2025

Bachelor's degree — Information Systems

Suleyman Demirel University
Bachelor's
Focused on Software Engineering, Databases, and Computer Networks. Explored Big Data, Blockchain, Web Development, and Linux Administration; built strong foundations in algorithms, probability & statistics, and data engineering concepts.
Off the clock: football fan — teamwork, strategy, and fast decisions under pressure.
Future Goal

Master's Degree — Data Engineering

Technical University of Munich (Germany)
Ambition
Planning to pursue advanced expertise in Data Engineering, large-scale distributed systems, and modern data architectures at one of Europe's top technical universities.
Non-obvious insight
I treat data systems like banking systems: correctness first, fast second. That mindset turns "pipelines" into durable products — observable, testable, and trusted.
Telegram · @tech_digest_kz

Big Data & Software Engineering, in short posts

A channel for engineers about AI, LLM, Data Engineering, Python and backend. Posts in Russian and Kazakh. Every item is checked against an independent source and approved by me before it is published.

Licenses & Certifications

Google AI Fundamentals

Google · Issued Apr 2026
ID: ZWLGE1YNC4TM

Certificate of completion: Claude 101

Anthropic · Issued Mar 2026
ID: stz5kjzvohzj

Google Cloud Big Data and Machine Learning Fundamentals

Google · Issued Sep 2024
ID: LM5GBC4KKBLT

Software Engineer

HackerRank · Issued Sep 2025
Skills: Software Engineering, REST APIs
ID: bd05e4f8a435

Data Engineering

Freedom Holding Corp. · Issued Oct 2024
Skills: Python, Apache Airflow

SQL (Advanced) Certificate

HackerRank
Skills: SQL, MySQL
ID: cba2aa129267

SQL for Data Science

University of California, Davis
Skills: SQLite, Databases
ID: GLYVDBVYEPH7

Python for Data Science

IBM · Issued Feb 2024
Skills: Python, Docker

Red Hat Certified System Administrator (RHCSA II)

Red Hat · Issued Nov 2023
Skills: Docker, Linux Server

Red Hat Certified System Administrator (RHCSA)

Red Hat · Issued Oct 2023
Skills: RHEL, Linux SysAdmin

Docker Essentials: A Developer Introduction

IBM · Issued Feb 2024
Skills: Docker Swarm, Containerization

Daily Engineering Resources

Selected Projects

Mini Tools

Small interactive widgets: world clock and a DB popularity snapshot. Lightweight and mobile-friendly.

World Clock
Local + selected time zones.
DB Rankings
Loaded from assets/db_ranking.json.
Source: DB-Engines ranking

Developer Lab

A collection of interactive engineering tools: Regex Playground, Docker Compose Generator, Live Tech Radar, and Cloud Cost Estimator.

Regex Playground

/ /
Explanation & Matches 0 matches
Pattern explanation will appear here...

Docker Compose Generator

Generated YAML
version: '3.9'
...

Live Tech Radar

Loading radar data...

Cloud Cost Estimator

4
16
250
Monthly
$0.00
CPU RAM Storage

AI Monthly Feature Lab

Every month an AI-generated feature is selected from current trends, implemented, tested, and shipped automatically.

Loading latest feature...
Loading live currency and weather signals...

AI Audience Pulse

Weekly trend proxy based on Wikipedia pageviews for major AI platforms, plus interactions saved in this browser.

Loading weekly audience pulse...
Loading site engagement...

System Console

Interactive terminal simulation. Watch the initialization sequence.

namazbek@kbtu: ~
$ _

Pipeline Architect

Interactive DAG builder. Click nodes to connect, drag to reposition, build your data flow.

Mode:
Source Transform Destination Selected

Books

A vertical, scrollable library. Select a book to read a mini-summary.

Tip
Use Tab to focus a book and press Enter or Space to expand. Press Esc to close the modal.