Sergei Krasnitskii — Software Engineer
Results-driven Data Engineer / Big Data Engineer / ML Engineer with 4.5+ years of hands-on experience in designing scalable data pipelines, building ETL/ELT workflows, and optimizing big data processing for enterprise-level solutions. Proven expertise in data engineering, analytics engineering, and machine learning integration across banking, oil & gas, and e-commerce, with projects impacting millions of users. Skilled in data pipeline development, data warehousing, distributed computing, and cloud-ready architectures. Strong background in Apache Spark, PySpark, Hadoop, Hive, Airflow, PostgreSQL, ClickHouse, Greenplum, Docker, Git, and CI/CD pipelines. Experienced in data quality monitoring, data migration, dashboarding, and workflow automation. I thrive in international, cross-functional teams, mentor junior developers, and lead projects from prototype to production. Open to global opportunities as a Data Engineer / Big Data Engineer / ETL Developer / Analytics Engineer, with full readiness to relocate and contribute worldwide. Languages & Tools: Python, Java, SQL, Apache Spark, Apache Hadoop, Apache Airflow, Apache Hive, Apache Superset, Docker, Git/GitLab, MS SQL Server, PostgreSQL, ClickHouse, Greenplum, HDFS, CI/CD, TeamCity, Jupyter, OOP & FP, Agile Core Competencies: * Data Pipeline Development (ETL/ELT) * Big Data Processing & Optimization * Data Warehousing & Analytics * Machine Learning Integration * Workflow Automation * Code Quality & Review Standards * Dashboarding & Data Visualization Languages: * Russian – Native * English – B2 (Upper-Intermediate) * Spanish – B2 (Upper-Intermediate) Volunteer & Mentoring * Mentor junior developers in data engineering and analytics. * Manage a Telegram channel on data technologies, sharing best practices and tutorials. Interests: * Advanced Machine Learning Techniques * Distributed Computing * Spanish Language & Culture * Muay Thai
Stackforce AI infers this person is a Data Engineering expert with a focus on Fintech and Big Data solutions.
Experience: 4 yrs 4 mos
Skills
- Data Pipeline Development
- Data Warehousing & Analytics
- Machine Learning Integration
- Data Analysis
Career Highlights
- Designed scalable data pipelines impacting millions of users.
- Mentored junior developers and improved team coding standards.
- Delivered critical analytics for financial institutions.
Work Experience
VK
Senior Data Engineer (3 mos)
Innotech
Senior Data Engineer (4 mos)
Middle Data Engineer (1 yr 9 mos)
«Газпром нефть»
Data Analyst (2 yrs)
Education
Магистр at Saint Petersburg State Electrotechnical University "LETI"
