About me

Mykhailo Klimnyk

Михайло Климнюк

Head of Data and tech enthusiast from Ukraine. Passionate about data engineering, analytics, AI and experimenting with various technologies. I believe data and technology should make life simpler and more exciting.

Data Engineering

Building data platforms, ETL/ELT pipelines, analytics and data visualization. From raw data to actionable business insights.

Automation & Infrastructure

Automating routine processes, building pipelines, Docker containerization. Less manual work — more time for analytics.

AI & Experiments

Exploring artificial intelligence capabilities. Head of Data at AUTOMOTO — automotive media platforms with AI content.

What I Do

I'm Mykhailo Klimnyk (Михайло Климнюк), Head of Data with extensive experience in data engineering, analytics and AI. My approach combines deep technical knowledge with practical experience to turn data into business value.

I work as Head of Data across three automotive media platforms — automoto.ai, automoto.ua and automoto.com.lv, where I'm responsible for data, analytics and AI content.

In my free time, I experiment with various technologies: optimizing Windows through Proxmox, exploring new tools, and sharing my knowledge on my blog.

Tech Stack

Programming

Python, SQL, Dart (Flutter), Shell/PowerShell

Lakehouse & Streaming

Dremio, Apache Iceberg, Nessie, MinIO (S3), Redpanda/Kafka

Orchestration & ETL

Dagster, dbt, Airbyte, Kafka Connect

Databases & Storage

PostgreSQL, MongoDB, MS SQL Server, MySQL, BigQuery, SQLite, S3 Storage, Nessie, Lakehouse

Visualization

Apache Superset, Power BI, Looker Studio

Infrastructure & ML

Docker, Git, GitHub Actions, CI/CD, OpenAI API, TensorFlow

Experience

2025 — present

Head of Data

RIA Media Corporation · automoto.ua / automoto.com.lv

OSS analytics platform (Dremio, Iceberg, Nessie, MinIO, Superset, Dagster, dbt, Airbyte). AUTOMOTO.UA mobile app (Flutter).

2022 — 2025

Data Analyst / Engineer

RIA Media Corporation · automoto.ua

ETL/ELT pipelines in Dagster. Lakehouse architecture: Nessie + Dremio + MongoDB. dbt models, automotive market R&D. Visualization in Apache Superset.

2019 — 2022

Data Analyst

Alef-Vinal · FMCG

Reporting automation, sales KPI planning, data visualization, ad hoc analytics.

Certifications

5

Dremio

AI Architect · Data Product Developer · Analyst · Lakehouse · Reflections

3

Dagster

ETL Pipelines · Dagster & dbt · Essentials

4

Google Cloud & IBM

TensorFlow · Kafka · Data Science · Data Visualization

All certifications on Credly