Resume from April 20, 2024 PRO

Vitalii

C# developer

Employment:
Full-time, part-time.
Age:
35 years
City of residence:
Odesa
Ready to work:
Kyiv, Odesa, Other countries, Remote

Contact information

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Work experience

Senior Data Analyst

from 07.2020 to now (3 years 9 months)
Information and Computing Center of the Odessa Railway, Odessa (management of freight and passenger rail transportation), Одесса (Транспорт, логістика)

Education

Odessa National Polytechnic University

Computer intelligent systems and networks, computer engineering, Одесса
Higher, from 2005 to 2010 (5 years)

Language proficiencies

  • English — average
  • Ukrainian — fluent
  • Russian — fluent

Additional information

Responsibilities:
- development and implementation of web services. Front End: ASP.Net Web Forms, Ajax, jQuery, JavaScript, CSS. Back End: C#, Oracle pl/sql, MSSQL t-sql.
- DBMS security (Oracle, MSSQL, Postgres, MySQL, MongoDB);
- setting up data storage, monitoring the operation of the DBMS;
- organization of backup;
- localization of malfunctions and restoration of working capacity in case of failure;
- installation and configuration of DBMS software and server operating systems;
- code analysis and optimization;
- development of system architecture;
- interaction with customers.

Computer skills: C++, C#, java, javascript, php, plsql, t-sql, vb, pascal.

Achievements:
- project 1: "24 hour control over natural gas consumption for Ukrainian railways".
Description: the system automates the process of obtaining volumes
spent gas from metering devices. The system gives recommendations for troubleshooting metering devices. The system generates various reports on gas consumption for various enterprises.
- project 2: "24-hour monitoring of failures of signaling devices (signaling, centralization, blocking) at all signaling and communication enterprises of Ukrainian railways".
Description: Dispatchers enter operational information about damage to devices at various stages and stations. The system gives recommendations for troubleshooting. Periodically, laboratory cars pass by railways, which also promptly enter information about the identified damage. The management of the railways analyzes the identified malfunctions and makes decisions to eliminate them. The system generates various reports on detected faults.

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