Margarita Shalneva

I owned the data engineering behind Burger King Russia's automated ingredient-ordering system and helped grow it from a 20-restaurant pilot into a tool the entire 800+ network relies on every day. My focus was making the pipeline fast and dependable end to end. I built the Airflow DAGs that kept data flowing between MS SQL and PostgreSQL, and I rewrote the core stored procedure behind the ordering calculations, cutting its runtime by ~70% (from 1.0s to 0.3s). The recommendations combined demand forecasts

My first data engineering role, at a platform for managing on-site field workforces. I spent a lot of my time close to the data itself: writing 30+ ad-hoc PostgreSQL queries and extracts to answer analytical and reporting questions from different teams. I also designed database schemas and data validation logic to keep data clean and consistent right at the ingestion layer — early lessons in why quality upstream saves so much pain downstream. On the side, I built a structured onboarding program for intern