Hey, I’m Albin Cikaj #
I’m a Data Engineer based in Europe with a background in Mechanical Engineering. My path from physical systems to data systems wasn’t accidental — both disciplines share the same core obsession: understanding how things work, optimizing them, and building reliable pipelines (whether for fluid or data).
I spend most of my time designing and building data infrastructure — ETL/ELT pipelines, data warehouses, and the tooling that makes data trustworthy and accessible for teams.
Background #
I studied Mechanical Engineering before transitioning into the data space. That engineering mindset — thinking in systems, caring about reliability, and building things that don’t break — has shaped how I approach data problems.
Over time I’ve worked across the full data stack: from ingestion and transformation to modeling and serving. I care a lot about data quality, reproducible pipelines, and writing infrastructure that future-me won’t curse at.
What I Work With #
- Languages: Python, SQL
- Data Engineering: dbt, Apache Spark, Airflow / Prefect, Kafka
- Cloud & Infra: AWS, GCP, Terraform, Docker
- Databases & Warehouses: PostgreSQL, Snowflake, BigQuery, DuckDB
- Version Control & CI/CD: Git, GitHub Actions
Outside of Work #
When I’m not building pipelines, I’m usually:
- Reading about systems design and distributed systems
- Tinkering with personal projects that scratch some technical itch
- Thinking about mechanical things — engines, structures, how physical systems fail
Get in Touch #
The best way to reach me is via email: [email protected]
I’m always open to conversations about data engineering, interesting projects, or just a good technical discussion.