Dmytro Palahin

I’m a Computer Science engineering graduate with nearly three years of professional experience in Data Engineering, MLOps and Python at Société Générale Assurances

My work has included designing automated data pipelines, large-scale data migrations, internal engineering tools and analytics solutions. I built an automated SAS-to-Python migration system using

Python, Polars and DuckDB, and designed a pipeline to migrate more than 500 GB of datasets to AWS S3

I also developed internal VS Code tooling used by 30+ Data Scientists and Data Analysts, as well as monitoring and data-analysis solutions for operational systems

My technical background includes Python, SQL, Spark/PySpark, AWS, Linux, Docker, Airflow, Kafka, dbt, PostgreSQL, machine learning and MLOps tooling. I’m also interested in AI/ML, scientific computing and quantitative engineering, with a strong academic foundation in probability, statistics, optimization and algorithms

Alongside my professional experience, I have worked on machine learning, NLP and optimization projects, including a phishing detection system trained on more than 76,000 emails, combinatorial optimization problems and anomaly detection