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

First who implemented incremental update within SENSE bank;
Created data depended jobs - conditional scheduling depending on what data is available;
Implemented ETL from Hadoop to Oracle DB via Python script - this allowed to avoid limit on 100k rows as it was via file extraction.
At current moment I’m providing internal clients with any kind of reports and their automation they ask such: 
1. Converting existing reports handled earlier in Excel to PowerBI or Oracle ApEx with automatic updates and refreshes;
2. Developing brand new reports starting with data collection from data storage, then building views and visual (front) part. 
3. “Hot” reports - fast data collection and aggregation in Excel or PBI on urgent request.

I’ve just finished a course on mathematical for data science to advance in data analysis and to go step forward - from reflecting what had happened to what is going to.

My technology stack for today is:
1. PL/SQL (DDL, DML, Scheduler);
2. Power BI (anything from scratch or support and editing);
3. Python (ETL, regressions).