Oleksii

Oleksii Aleinikov
Data Analytics Engineer
Granada, Spain • [open contact info](look above in the "contact info" section) • [open contact info](look above in the "contact info" section) • LinkedIn • Telegram

Data Analytics Engineer with 3.5 years of hands-on data experience. I started as a Data Analyst
building Python ETL pipelines and reporting, then transitioned into Data Engineering, where I
designed and developed a 34-bot reporting system from scratch, introduced automated data quality
monitoring and cut BigQuery costs by about half. I am passionate about building reliable systems,
working with new data, and finding ways to turn it into knowledge people can act on.

Professional Experience
Native Apps Kyiv, Ukraine
Data Engineer February 2025 – October 2026
• Wrote and optimized complex SQL queries on BigQuery production data using partition pruning
and query restructuring, cutting cloud costs by 18% and speeding up execution by 12%.
• Built a Power BI dashboard monitoring the automated reporting system: daily successful,
completed and pending runs, plus execution time per job.
• Consolidated data from Redshift, BigQuery and Google Analytics into a unified pipeline feeding 4
dashboards, reducing report generation time by 15%.
• Gathered reporting requirements from analytics and product stakeholders, agreed report
structure and format, and delivered self-service Slack/Telegram reporting bots that save 3+ hours
of manual work daily.
• Automated scheduled report refreshes with ETL pipelines in Apache Airflow, hashing user data
with SHA-256 to meet data protection standards.
• Reduced detection time for CMS and database synchronization failures by 90% with automated
monitoring, keeping reported figures accurate and timely.
• Validated data integrity across 260+ Google Tag Manager tracking events through a weekly
reporting system.

Verdict Capital Kyiv, Ukraine
Data Analyst March 2023 – January 2025
• Redesigned and optimized relational databases storing client records, improving processing
performance by 7% and data accuracy.
• Managed and validated 2TB+ of data for financial reporting and operational analytics.
• Monitored high-volume transaction flows and supported reconciliation processes.
• Built Python ETL pipelines extracting and normalizing contract data from Excel and PDF files into
PostgreSQL.

Skills
SQL (CTEs, window functions) Power BI PostgreSQL, BigQuery
Python, ETL/ELT Apache Airflow AWS Redshift, Databricks
Data Modeling Data Visualization Data Quality Monitoring
Query Optimization Docker, Git Google Analytics, GTM

Education
Kyiv National Economic University Kyiv, Ukraine
Bachelor, Computer Science