Position: Data Engineer/Analyst
Category: Data Engineer
English level: fluent
Years of experience: 4

I solved a data warehousing issue we had as a team when the data we got from excel was so disorganized, dirty and consist of numerous pages. I was able to solve the issue when I joined my current company after it has been an issue for a long time. The MD was so happy about it that he rewarded me handsomely.
Snapnet Limited 
Business Intelligence Developer/Data Engineer 
• Translated business needs to technical specifications. • Designed, built and deployed BI solutions as in SQL, SSAS, SSIS, Power BI for businesses 

• Maintained and supported data analytics platforms including Microsoft Power BI, Tableau. 

• Created data storage and data models as in OLAP cubes. • Conducted appropriate data capture, data cleaning and data governance. 
• Evaluated and improved existing BI systems. 

• Collaborated with teams to integrate systems. 

• Developed and executed database queries and conduct analyses. 

• Created visualizations and reports for requested projects. 

• Developed and updated technical documentation. 

SKILLS 
Programming: Proficient user of SQL (PostgreSQL), Azure synapse, data warehousing, SSIS, SSRS. SSAS, Sql server, Python (Pandas, Sci-kit learn, NumPy, etc.) and SPSS to leverage data treatment and analysis. 

Report writing: Able to transform conclusions on highly complex datasets into simple English for nontechnical audiences. Data 

Visualization: Advanced user of Microsoft Power BI, Python visual tools (Matplotlib, Seaborn) with the ability to create accurate and creative infographics and presentations. 

Statistical methods: Expert descriptive statistics, inferential statistics, regression models and other classic analysis methods. 

Teamwork: Committed to maintaining constant communication with departmental heads to ensure business goals are being met. 

Spreadsheets: Adept in the advance usage of Microsoft Excel (Power query, Power pivot, VBAs, Lookups) and google sheets for data analysis.
I look forward to a challenging environment where the priority is to solve tech driven problems of all sorts