Oleg P.

Need data pipelines that don't break at 2am? I'm a Data Engineer with 4+ years building and automating ETL/ELT pipelines across GCP, Azure, and AWS — turning messy, scattered data into clean, reliable datasets teams can actually trust. What I do: • Build & optimize ETL/ELT pipelines — Airflow, Apache Spark, Databricks, dbt, Kafka • Data warehousing & migration — BigQuery, Redshift, Athena, SQL (MS SQL, PostgreSQL), NoSQL • Cloud data infrastructure — GCP (Dataproc, Pub/Sub, Composer, Cloud Run/Functions), Azure (Data Factory, Databricks), AWS • Data pipelines for ML systems, workflow automation, data quality & monitoring I've worked across marketing analytics, enterprise legacy systems, and an iGaming/ML platform — comfortable with high-volume data and messy real-world sources. I also support ML/AI workflows: data prep, feature engineering, and pipelines for model training and inference. I care about clean, maintainable solutions, not code that runs once and breaks later. Tools & tech: Python, SQL, NoSQL · Airflow, Spark, Databricks, Kafka, dbt, Pandas · GCP, Azure, AWS · BigQuery, Redshift, Athena, Pub/Sub · Docker, Linux, FastAPI/Flask · Tableau · PyTorch, AI/ML Available 30+ hrs/week. Tell me what you're building — let's see if I'm a fit.