Daniil Maiboroda
@daniilmaiboroda
I build automated data quality and reconciliation systems for banking, payments, and regulatory reporting.
United StatesWhat I'm looking for
I've built automated data quality monitoring and reconciliation workflows for banking, payments, and regulatory reporting teams. My work focuses on finding discrepancies early, tracing them through ETL pipelines, and turning business rules into reliable controls.
At Innotech, I built a data quality monitoring system from scratch using 30+ automated PostgreSQL checks, dashboards, and alerts. I also supported data migration to a consolidated banking platform and optimized recurring validation queries by 30%.
I resolved 500+ enterprise data warehouse incidents, standardized incident management, and automated recurring SQL checks and dashboard uploads. Most recently, I audited three reporting data marts ahead of a regulatory reporting launch and documented 15+ critical discrepancies.
Previously at QIWI, I reconciled financial data across 10+ payment systems and automated SQL, Excel, and Python-scheduled reporting workflows, reducing manual effort by 30–40%. I enjoy partnering with stakeholders and engineering teams to improve reporting accuracy and data reliability.
Experience
Work history, roles, and key accomplishments
Senior Data Analyst
Innotech
Jan 2026 - Present (8 months)
Audited data quality across 3 reporting data marts, identifying and documenting 15+ critical discrepancies ahead of a regulatory reporting launch. Created 10+ reusable SQL templates, reducing turnaround time for recurring analytics requests by 40%.
Data Analyst
Innotech
Jan 2023 - Feb 2024 (1 year 1 month)
Resolved 500+ data quality incidents across enterprise DWH systems, supporting reliable reporting and SLA performance. Automated recurring SQL checks with dashboard uploads, eliminating manual validation activities.
Data Analyst
QIWI
Oct 2021 - Dec 2022 (1 year 2 months)
Reconciled financial data across 10+ payment systems, supporting accurate regulatory reporting and reducing audit discrepancy risk. Standardized and automated recurring SQL and Excel reporting using reusable queries and Python-based scheduling, reducing manual effort by 30–40% and improving consistency across analysts.
Education
Degrees, certifications, and relevant coursework
Moscow Aviation Institute (National Research University)
Bachelor's Degree, Electronics Engineering
Bachelor's degree in Electronics Engineering from Moscow Aviation Institute (National Research University), completed in 2021.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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