I am a Data Analyst with 5 years of experience in FinTech, Banking, Payments, and regulatory analytics. I focus on turning complex data, business logic, and ETL flows into clear insights that help teams make faster and more reliable decisions.
I have built a data quality monitoring system from scratch, including 30+ PostgreSQL checks, and have helped resolve more than 500 enterprise DWH incidents. My work has supported accurate reporting across 10+ payment systems and improved the reliability of financial and regulatory data.
In my recent roles, I audited reporting data marts, documented logic for knowledge transfer, and created reusable SQL templates that reduced recurring analytics request processing time. I also worked on migration-related data quality validation and built reconciliation dashboards for management and cross-functional teams.
Earlier, I monitored enterprise DWH data quality across transactional, client, and payment data, analyzed ETL anomalies, and standardized incident handling from detection to closure. I also automated recurring SQL checks and dashboard uploads to eliminate manual validation work.
At QIWI, I reconciled financial data across multiple payment systems and improved reporting accuracy for compliance and audit purposes. I also automated SQL and Excel reports, reducing manual effort and speeding up reporting cycles.
I hold a Bachelor’s Degree in Electronics Engineering from Moscow Aviation Institute and have completed corporate training in PostgreSQL and PL/SQL. My core strengths include SQL, Python, data validation, reporting automation, data warehousing, and cross-functional collaboration.
Audited data quality across 3 reporting data marts, identified and documented 15+ critical discrepancies affecting regulatory report launch, created 10+ reusable SQL templates, and documented reporting data mart logic for knowledge transfer.
Ensured data quality during migration from a legacy DWH to a new banking data platform, designed an automated data quality monitoring system with 30+ PostgreSQL checks, built reconciliation dashboards, optimized SQL validation queries, trained a new team member, and developed process documentation.
Monitored enterprise DWH data quality across transactional, client, and payment data, resolved 500+ data quality incidents, analyzed ETL pipeline anomalies, standardized incident monitoring, and automated recurring SQL checks with dashboard uploads.
Reconciled financial data across 10+ payment systems, corrected SQL logic issues in financial reporting workflows, automated recurring SQL and Excel reports, and participated in designing and testing audit data marts.
Bachelor's Degree in Electronics Engineering
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