Position: Software Developer (Python / BI (Qlik Sense, Power BI, Jupyter Notebooks, PySpark) )
Category: Python
English level: intermediate
Years of experience: 4

Integration of an ERP/MRP system to agricultural holding.
Professional Summary
Projects:
- (July 2011 - January 2016) 1C 8 Enterprise developer and ERP bases maintainer for such project as: pharmacy,
retail, gas production, billing system for leasing process.
- (February 2016 - till now, the main place of work) ERP system developer for agricultural company (MRPII
standarts)
- (October 2016 - November 2017) Application for sales representatives (Android app) + Backend (1C: Enterprise
8, IIS web server, data exchange via https)
- (December 2017) (C++) Windows application for data transfer from electronic wheel-load scales (brand: KODA)
to ERP system
- (December 2018 - March 2019) Inventory system for warehouse inventory process automatization (Flask, Apache,
PostgreSQL/Sqlite)
- (July 2018 - September 2018) Integration of ERP system and WMS warehouse system via data exchange
(REST api, XML) (1C: Enterprise 8 and custom WMS system)
- (August 2018 - October 2018) Alghorytmic trading (development of algotrading system based on Django and
pyalgotrade library)
- (March 2019 - April 2020) Integration of ERP system and TMS logistics system via data exchange (REST api,
XML) (1C: Enterprise 8 and Tocan TMS)
- (June 2018 - till now) Big data analysis, using Qlik Sense software (development of data loaders and UI) - sales analysis,  receivables and payables analysis, multiple databases - to one application
-(November 2019 - June 2021) automated reporting (Qlik using NPrinting software)-system administrator, also providing help to business-analysts in creation reports in NPrinting (data bridge to Qlik Sense)
- (June 2021- October 2021)  Upgrading a Django project for hospice organization (use of django-rest-framework for API ingegration +(greenlet & postgres db) + ElasticSearch)
- (October 2021 - till now). Python developer & data engineer at financial project. Managing and developing a corporative data lake (AWS s3+Athena) and data warehouse (SQL Server 2019).(AWS :RDS, EC2, ECS, ECR, Lambda, Redshift, Athena.  GCP: BigQuery, ComputeEngine.) Management of B2B data flows (ETL, BI (Dremio+PowerBI, SSRS))

Education
2006-2010
 The Volodymyr Korolenko National Pedagogical Univercity of Poltava
B.A. in Chemistry and Informatics achieved
2010-2011
 The Volodymyr Korolenko National Pedagogical Univercity of Poltava
M.A. in Chemistry and Informatics achieved
Languages
English — B2