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@bulatxis

I build enterprise data platforms—data warehouses, ETL/ELT, and ML-ready datasets—to power reliable analytics and decisions.

Russian Federation

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What I'm looking for

I’m looking for a data engineering role where I can design scalable data warehouses and orchestrate ETL/ELT pipelines, optimize SQL for performance, and deliver production-ready datasets for analytics and machine learning.

I’m a Data Engineer who designs and optimizes enterprise data warehouse solutions, turning complex data into reliable, production-ready layers for analytics. I focus on performance, quality, and scalable architecture—especially across OLAP, data marts, and data pipelines.

At Sovcombank, I’ve led the development of Data Warehouse solutions using Microsoft SQL Server, Oracle, and ClickHouse, improving query performance and data quality. I orchestrate complex ETL/ELT pipelines with Apache Airflow (Python), integrate heterogeneous enterprise systems, and build datasets for feature engineering and machine learning model readiness.

I also drive high-impact technical outcomes: I re-architected a large-scale OLAP cube to reduce storage by 3 TB and cut daily processing time by 3 hours, and I delivered an end-to-end ML-powered customer classification solution from dataset engineering to post-release optimization, generating estimated $2.1M in annual business value. I communicate architectural decisions clearly to leadership and align business goals with engineering execution, which has earned executive approval for production rollouts and recognition as Employee of the Year 2025.

Experience

Work history, roles, and key accomplishments

Middle Data Engineer

Sovcombank Technologies

Sep 2022 - Apr 2026 (3 years 7 months)

Designed, developed, and optimized enterprise data warehouse solutions and reporting layers, improving query performance and data quality. Built and maintained complex ETL/ELT pipelines orchestrated with Apache Airflow and supported scalable enterprise analytics and machine learning dataset/feature engineering.

Machine Learning Infrastructure

Sovcombank Technologies

Feb 2024 - Jan 2026 (1 year 11 months)

Delivered an end-to-end ML-powered customer classification implementation, including dataset engineering, ETL orchestration, data validation, production deployment, and post-release optimization. Contributed measurable business impact and was recognized as Employee of the Year 2025.

ETL ELT Development Data Validation ETL Post Release Optimization Data Pipeline Development Apache Airflow Python Pandas Pyspark SQLAlchemy Feature Engineering Data QA Advanced SQL

Education

Degrees, certifications, and relevant coursework

Kazan Federal University

Bachelor Of Software Engineering, Software Engineering

2020 - 2024

Grade: 4.5

Activities and societies: Won a university startup competition and founded a small IT company with 3 employees.

Completed a Software Engineering program with coursework in algorithms, machine learning/AI, databases, object-oriented programming, computer networks, and data analysis. Graduated among the top students and received full academic scholarships twice for outstanding performance.