Yana Derhachenko

Data Engineer with an operations and finance background — years working with financial and operational data where errors had real consequences. It's where I learned what bad data actually costs. Now build structured pipelines on AWS and Spark, focusing on incremental processing and validation from the start.

Recently completed an intensive Data Engineering, AI & ML bootcamp focused on production-style pipelines and applied ML. Currently building independently with Airflow, dbt and Athena. Looking for a hands-on data engineering role where the work is close to the data itself — schema design, quality decisions, understanding why the data looks the way it does.

Particularly interested in data products and behavioural data modelling — the kind of work where engineering decisions directly affect what clients can trust and use.

Northcoders — Data Engineering, AI & Machine Learning Bootcamp

Sep 2025 – Jan 2026 | Full-time, Project-Based Programme

Completed an intensive bootcamp focused on analytics engineering and production-style data pipelines. Built a Medallion architecture platform (Bronze/Silver/Gold) with dimensional modelling, data quality validation gates, and PySpark transformations. Designed a star-schema warehouse in PostgreSQL with incremental loading and validation logic.

Developed SQL and PySpark skills for building curated, analytics-ready datasets. Worked collaboratively using Git, CI/CD (GitHub Actions, Terraform), and presented technical work in stakeholder demos.

Technologies: SQL, PySpark, AWS (S3, Lambda, RDS), Delta Lake, PostgreSQL, Pytest, Docker.

AKVILON-TORG LTD — Data & Operations Coordinator (E-commerce)

2015 – 2022 | Ukraine

Acted as a bridge between business stakeholders and technical teams, translating operational requirements into structured datasets and KPI definitions. Defined and standardised metrics across finance, logistics, and sales departments to ensure consistent, trusted reporting. Identified and resolved a financial data duplication issue through cross-source validation across ERP and CRM systems.

Redesigned payment data workflows, reducing processing time by ~70% and improving data quality. Implemented validation checks to improve reporting reliability across internal systems. Collaborated with IT and analytics teams to align data structures with business needs.

Master's Degree in Psychology – Kharkiv National Pedagogical University (2000-01 – 2002-12)