Position: QA Engineer
Category: QA
English level: upper
Years of experience: 2

* Strong background in SQL and analytics helps to test database faster and effectively;
* Structured, cleaned data in databases;
* Were automated a lot of reports and processes;
* Launch of a new forecasting system in Ukraine division;
* Gained Forecast accuracy – 78-95% (retail) 
* Create from scratch forecast at manufacturing -increased accuracy from 50% to 90%, within 4 months;
* Developed Penalty Tool – penalty calculation time decreased from 1 month to 1 week; 
* Construction P&L, Cash Flow, Balance, forecast, manufacturing planning from scratch;
* Increased sales to 167% and reduced finished product balances by -6% to PY via ABC/ZYX analysis;
* Created model for raw materials calculation – it reduced balances by -46% compared to PY;
* Decreased time for production planning by 2-3 hours per day;
Hello, I am Data Quality Assurance Engineer with experience in SQL. Working with ETL, DW testing, data testing, general testing.
#As Data QA Engineer I work with test cases, bug reporting, ETL, report and visualization testing, data warehouse testing, black and white box testing, functional and non-functional testing. Use SQL, GIT, SVN, TestRail, Azure Allure, Jenkins, Confluence.
#Have 10 years experience in Data Analysis in retail and manufacture (Sales, Planning, Forecasting, Reporting)
#SQL(SSMS, Snowflake, Teradata, Impala) - Advanced level
#BI (Power BI, MicroStrategy, Qlick View)
#Python Beginner - try to apply and automate some testing
# Launched new Forecasting software

HealthCare domain in IT:
 QA database Engineer (SQL) main duties:
* Data validation, verification and analysis; 
* ETL testing, testing reports and dashboards based on OLAP ICubes;
* Analysis of customer's needs and building ETL reports;
* Bug reporting (TestRail, GIT, SVN), writing test cases;
* Functional and non functional testing;
* Black Box and White Box Testing;
* Reporting with SQL for American hospitals, visualization with MicroStrategy BI, automatization, ad hocs.

Retail and manufacturing :
* Have 10 years experience in Data Analysis in retail and manufacture (Sales, Planning, Forecasting, Reporting);
* Provide data quality assurance and testing;
* Launch of a new forecasting system in Ukraine division;
* Demand planning and forecast in retail and manufacturing (from scratch) - Increased forecast accuracy from 50% to 90%, within 4 months;
* Developed Penalty Tool – penalty calculation time decreased from 1 month to 1 week;
* Developed reports and visualizations (SQL, Power BI and Qlick View, Excel);
* Ensured data accuracy control in BI, sales analysis, presentations;
Looking for QA role in a company, where I'm willing to apply and develop my current skills and be able to acquire new.