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Senior
Регистрация: 10.09.2026

Кирилл Кузнецов

Специализация: Senior Data Automation Engineer
Data Automation and Database specialist with 8+ years of production experience. — I currently lead a 20-person Special Projects team at RNC Pharma consisting of developers, analysts, managers, and data specialists. Our team designs databases, data models, and automation solutions for leading global pharmaceutical companies. — I remain hands-on with Excel/VBA, Python, Microsoft SQL Server, ETL, data quality, browser/API automation, and applied machine learning. — My ML experience includes automated classification and data enrichment using scikit-learn, TF-IDF, SVC models, rule-based processing, and confidence thresholds for routing uncertain cases to manual review. — I am interested in remote project-based, part-time, and contract work.
Data Automation and Database specialist with 8+ years of production experience. — I currently lead a 20-person Special Projects team at RNC Pharma consisting of developers, analysts, managers, and data specialists. Our team designs databases, data models, and automation solutions for leading global pharmaceutical companies. — I remain hands-on with Excel/VBA, Python, Microsoft SQL Server, ETL, data quality, browser/API automation, and applied machine learning. — My ML experience includes automated classification and data enrichment using scikit-learn, TF-IDF, SVC models, rule-based processing, and confidence thresholds for routing uncertain cases to manual review. — I am interested in remote project-based, part-time, and contract work.

Портфолио

Machine Learning Classification & Data Enrichment

Designed and implemented an automated classification and data-enrichment workflow for large datasets. ● I worked on feature preparation, model training and application using Python and scikit-learn, including TF-IDF features and SVC classification models. I also combined machine-learning predictions with configurable regex rules and confidence thresholds. ● The workflow automatically processes high-confidence predictions while routing uncertain cases for manual review, making large-scale classification more consistent, auditable, and maintainable.

Excel & VBA Automation Toolkit

Developed Excel and VBA tools for repetitive data-processing and reporting workflows. ● The solutions included macros for validation, transformation, deduplication, data preparation, reporting, and integration with SQL-based workflows. I also worked with Power Query and Python when Excel alone was not the most effective solution. ● These tools reduced repetitive manual operations, standardized outputs, and improved the reliability of recurring business processes.

Automated Reporting & Data Processing Workflow

Designed a reusable automation workflow for recurring data collection, validation, transformation, and report generation. ● The solution processes Excel/CSV data, applies data-quality checks and transformation rules, and produces structured outputs with minimal manual involvement. It also includes browser automation for authorized portals, repeatable execution, and error handling. ● My role covered workflow design, requirements, Python automation, data-processing logic, and solution review.

SQL Server ETL & Data Export Automation

Designed and implemented SQL Server workflows for data ingestion, transformation, validation, reference-data management, and recurring exports. ● The projects included stored procedures, automated imports, incremental data loading, data-quality checks, and client-ready exports to formats such as Excel, CSV, TXT, and Parquet. ● I worked on requirements, database logic, SQL development, Python integration, and automation architecture.

Скиллы

Python
Microsoft SQL Server
Excel
VBA
Machine Learning
ETL
Data Engineering
Data Quality
scikit-learn
TF-IDF
Power Query
Playwright
REST API
Data Modeling
Data Analysis
Reporting
pandas
Data Cleaning
Automation
SVC

Опыт работы

Head of Special Projects
с 01.2021 - По настоящий момент |RNC Pharma
Microsoft SQL Server, Python, Excel, VBA, ETL, Machine Learning, scikit-learn, Playwright, Power Query, REST API
● Lead a 20-person cross-functional team of developers, analysts, managers, and data specialists. ● Our department designs and develops databases, data models, data integration workflows, and automation solutions for leading global pharmaceutical companies. ● I remain directly involved in requirements analysis, solution architecture, SQL and Python development, Excel/VBA automation, ETL, data quality, and applied machine-learning solutions. ● My work includes automating recurring data-processing and reporting workflows, developing SQL Server procedures and data pipelines, improving data classification and matching, and designing ML-assisted workflows for large datasets.
Head of File Preparation Group
01.2020 - 12.2020 |RNC Pharma
Excel, VBA, SQL, Microsoft SQL Server, Data Validation, ETL
● Built and managed a team responsible for preparing, validating, and transforming data for automated imports. ● Improved quality-control processes, standardized recurring workflows, and introduced automation that significantly reduced data preparation time and manual errors.
Database / PC Operator
04.2018 - 12.2019 |RNC Pharma
Excel, VBA, SQL, Microsoft SQL Server, Data Processing, Data Quality
● Worked directly with operational datasets, file preparation, reference data, data validation, imports, and recurring error analysis. ● Developed Excel/VBA and SQL tools to automate repetitive validation and data-processing tasks, reducing manual checks and improving consistency.

Образование

Business Informatics (Бакалавр)
2012 - 2019
HSE University (Higher School of Economics)

Языки

РусскийРоднойАнглийскийСредний