В'ячеслав

VIACHESLAV Data Analyst | Data Engineer
KYRYLENKO
OBJECTIVE
I have 2 years of experience as a Data Analyst and Data Engineer in the financial
depar tment of a manufacturing company. I specialize in building automated repor ts,
processing large volumes of data, optimizing SQL queries, implementing E TL
pipelines in BigQuer y, and integrating external data sources via Coupler.io.

I organize and maintain databases, automate financial repor ting, and prepare
analytical data to suppor t business decision-making.

Experienced in CRM campaign analytics and collaborative work in an Agile team
environment.

Responsible for ensuring data quality and optimizing data processing workflows.

Eager to apply my skills to solve complex, impactful challenges, contribute to team
success, and suppor t business growth.

E XPERIENCE
Data Analyst | Data Engineer

SQL , B ig Q uer y, C oupler.io, L ooker S tudio, G oogle S heets ( Excel ) , V isio, B itrix 2 4

Omega Three, TM “Shchaslyve Kurcha” | May 2023 – April 202
D esigned and maintained architecture for automated data updates from 1C, F TP,
Google Sheets , and other sources into BigQuer y using Coupler.io
W rote SQL queries, functions, and procedures for data cleaning, transformation,
EDUCATION

aggregation, completeness checks, and validation against business requirements
C onducted financial and CRM analytics using Bitrix24 , including customer

Industrial Refrigeration Machine Design
segmentation and per formance repor ting
A nalyzed marketing campaign effectiveness and provided recommendations for
Technological and Economic College
improvement
O ptimized SQL queries to accelerate analytical processes
Specialist

:
W orked in an Agile environment par ticipated in daily task reviews and sprint
September 2004 – July 2007 planning
C ompleted training in ( scheduled pipelines ) and
Apache Airflow E TL Apache
Kafka ( real-time event streaming ) to enhance orchestration skills.
CERTIFICATES

REFERENCES
ETL and Data Pipelines with Shell, Airflow
O le k sii Ku ch ero v

C h ie f F inan c ial Offic er, O mega T hree, TM “S hchaslyve K urcha ”

and Kafka – IBM (05.2025)

AWS Cloud Technical Essentials
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Amazon Web Services (04.2025)
alexey.kucheroff @ gmail.com

Data Analysis with Python

IBM (03.2025)
SKILLS

Google Data Analytics Professional

Data Analytics & Processing:

Google (09.2023)
• S tructured thinking, data-driven decision makin g

SQL Fundamentals
• D ata cleaning, validation, transformation, and visualizatio n

W3Schools (10.2023) • H andling large datasets, SQL quer y optimizatio n

• D evelopment of regular repor ts and dashboard s

LANGUAGES

• C R M analytics in B itrix 24: customer segmentation, SMS campaign executio n

Tools & Technologies:

• SQL: G oogle B ig Q uer y, N o SQL: A mazon D ynamo DB

Ukrainian
• BI Platforms: L ooker S tudio, Tableau, P ower BI

Native

 • ETL/ELT: A pache A irflow, A pache K afka, C oupler.i o

• Programming: P ython ( automation in A irflow ) , R ( basic level )

English
• Spreadsheets: G oogle S heets, Excel (VLOOKUP, SUM I F, A RR AYFO R MULA)

Upper-Intermediate • Presentations: P ower P oin t

• Process Documentation: M icrosoft V isio
CONTACT INFORMATION

ADD ITIO NA L
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 B asic knowledge of :
banking products principles of current accounts, card

https://bit.ly/4kquKqo
 products, credit and deposit operations. U nderstanding of customer segmentation
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 and transactional behavior pattern s

Kyiv, UKRAINE Strong analytical thinking, proactivity, and self-organization skills