Summary
Azat Burkhanov is a versatile Python and Java developer with eight years of experience, blending software engineering and data analytics expertise gained across Oil & Gas and fintech-focused automation projects. Currently at Luxoft, he builds and maintains testing and backend systems using Java (Spring) and Python (Flask, FastAPI), and has hands-on CI/CD and UI automation experience for high-stakes commodity trading platforms. His background as a data analyst at Wood Mackenzie and Smart Digit gives him strong competencies in timeseries processing, ML-driven anomaly detection, ETL with PySpark, and visualization using Bokeh/Seaborn. Comfortable across SQL, PostgreSQL, and modern web stacks (Angular, TypeScript), Azat pairs pragmatic engineering with domain knowledge in geosciences, enabling him to translate complex industry data into actionable software. He is an eager continuous learner who moves between data science and production engineering, often surfacing non-obvious insights from noisy datasets to improve automated testing and analytics pipelines. Based in Serbia, he seeks opportunities to apply his cross-disciplinary skill set to solve challenging problems at the intersection of analytics and reliable software delivery.
8 years of coding experience
5 years of employment as a software developer
Lyceum 2 , Kazan
Engineer’s Degree Geological/Geophysical Engineering, Engineer’s Degree Geological/Geophysical Engineering at Gubkin Russian State University of Oil and Gas (National Research University)
Русский, English, Turkish