Position: Data Analyst
Category: Data Analyst
English level: upper
Years of experience: 1

AWS Certified Cloud Practitioner
Google Cloud Certified Associate Cloud Engineer
1.	Data cleaning and transformation
(Dropping irrelevant Columns, Handling stringified JSON columns,
Flatten nested Columns, Cleaning Numerical Columns, Cleaning DateTime Columns. Cleaning Text / String Columns, Removing Duplicates. Handling Missing Values & Removing Observations.
) using integrated PowerBi tools or using Python libraries
(Pandas, Pyspark) for data transformation.
2.	Creating simple ETL’s processes in AWS Cloud (AWS Lambda) for data transformation.
3.	Analyzing different data sources (RDBMS, cloud storages, flat files, etc).
4.	As a member of the team and because I have data quality engineering skills I took part in data quality control and analyzed business requirements.
5. Creating different measures for data visualizations in PowerBi.
6. Creating different visualizations in Power Bi according to the business requirements.

I have experience with all main cloud providers (AWS, Google, Azure). I have AWS Cloud Practitioner Certification and  I’m Google Cloud Certified Associate Cloud Engineer. , I have SQL skills for working with RDBMS.