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Data analyst

Розглядає посади:
Data analyst, Database analyst, SQL developer, Technical support specialist, Computer support administrator, CRM-менеджер, Operations manager, Database developer, Database administrator
Вік:
23 роки
Місто проживання:
Київ
Готовий працювати:
Дистанційно

Контактна інформація

Шукач вказав: ТелефонЕл. поштуLinkedInМесенджер

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Kyrylo Olifirenko
Data Analyst & IT Specialist
SQL & Data Engineering · Business Intelligence · Process Automation
Batumi, Georgia · Open to Remote & Hybrid
[відкрити контакти](див. вище в блоці «контактна інформація»)
Ukraine: [відкрити контакти](див. вище в блоці «контактна інформація»)
Georgia: [відкрити контакти](див. вище в блоці «контактна інформація»)
Telegram: @hokahul
LinkedIn

SUMMARY CORE SKILLS
Data Analyst & IT Specialist with hands-on experience in SQL Server, database SQL & DATA ENGINEERING
development, BI, ETL, process automation and business application support. SQL Server PostgreSQL Oracle Database
Skilled in T-SQL development, query optimization, stored procedures,
functions and triggers, as well as building ETL workflows and Power BI T-SQL PL/SQL Stored Procedures
dashboards. Experienced with Power Apps, Dataverse and Power Automate, Functions & Triggers Query Optimization
integrating data across CRM and operational systems. Integrated an AI-
powered computer vision solution for automated SKU recognition, linking ETL SSIS Data Validation
image recognition with SQL business logic, automated workflows and retail POWER PLATFORM & CRM
analytics. Additional experience includes CRM administration, data quality
Power Apps Dataverse Power Automate
management and legacy system modernization.
SalesWork CRM Process Automation
EXPERIENCE
BI & ANALYTICS
Data Analyst / IT Specialist Jun 2025 — Jun 2026
Power BI DAX Power Query Excel
PrJSC "Obolon", Kyiv
Tableau KPI Logic Dashboard Design
AI Integration: Integrated AI-powered computer vision for automated SKU
AI & DATA INTEGRATION
recognition, connecting image recognition results with SQL business logic,
Power Apps questionnaires and retail analytics. AI Integration Computer Vision Integration

CRM Administration: Administered and supported the SalesWork CRM DBF Processing Data Quality
used by sales teams nationwide, resolving data inconsistencies, optimizing
workflows and providing technical support to users. TECHNOLOGIES

Database Engineering: Designed and optimized SQL Server solutions Programming & Web: Python, Java,
using T-SQL, stored procedures, functions and triggers, implementing HTML/CSS
business logic, data transformations and automated processing workflows. Cloud: Azure, AWS (RDS), Oracle Cloud
Tools: Git, GitHub, Jira, Trello
BI & Analytics: Developed KPI logic, analytical datasets and Power BI/Excel
dashboards using CRM and operational data, with SQL-based reporting E D U C AT I O N
logic and data validation. Master of Science in Computer Science
ETL & Data Integration: Built automated ETL pipelines for distributor data State University of Trade and Economics
from DBF, SQL and Excel sources, covering extraction, transformation, (SUTE)
validation and integration into reporting datasets. 2024 — 2026
Power Platform: Developed business applications with Power Apps, Bachelor of Science in Computer Science
Dataverse and Power Automate, designing data models and integrating Kyiv National Economic University named after
SQL/CRM data to automate questionnaires, field data capture and Vadym Hetman (KNEU)
operational workflows. 2022 — 2024
System Modernization: Participated in CRM migration and system
Junior Specialist in Software Development
modernization initiatives, refactoring legacy database code and adapting
Professional College of Information Systems
existing business logic and data workflows to the new CRM architecture.
and Technologies, KNEU
2018 — 2022
SQL Developer Mar 2024 — Feb 2025 L A N G U AG E S

LLC "Ukrainian Security Center" (УЦБ), Kyiv English: Intermediate (B1/B2)
Ukrainian / Russian: Native
SQL Development: Developed and maintained SQL queries and database
logic for data extraction, analysis and reporting, optimizing complex queries
to improve query performance.
Data Analysis & Integrity: Analyzed operational datasets, investigated
data discrepancies and performed validation across database sources to
maintain data quality and reporting accuracy.
Reporting Automation: Developed automated reporting workflows,
reducing manual data preparation and improving the reliability of recurring
reports.

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