07/08/2025 updated


100 % available
Data Management and Finance Professional with Azure Certifications
Sofia, Bulgaria
Worldwide
Master of FinancedbtMicrosoft AzureC Sharp (Programming Language)Cloud ComputingData ManagementFinancesPython (Programming Language)Microsoft Power BISQL DatabasesPySparkSpark StreamingDatabricks
Cloud Data Engineer
Data Management and Finance professional with solid background in managing, processing and analyzing various data. Certified DataBricks Data Engineer Professional, Microsoft Certified Azure Data Engineer Associate, Azure Administrator, Power BI Data Analyst Associate, Python, SQL, C#
Data Management and Finance professional with solid background in managing, processing and analyzing various data. Certified DataBricks Data Engineer Professional, Microsoft Certified Azure Data Engineer Associate, Azure Administrator, Power BI Data Analyst Associate, Python, SQL, C#
Experience
Professional experience5 - 10 years
Freelancer since2024
Languages
BulgarianGoodGermanBasic knowledgeEnglishFluentRussianNative speaker
Project history
- Developed python library for flat files and data transfer between various data sources (airflow, snowflake, python, polars, pandas, parquet, excel, azure blob/datalake, snowflake);
- Wrote ELT/ETL pipelines using Apache Airflow and dbt with Snowflake;
- Created data model, supporting pipelines for data ingestion and processing for data first web app, including development of advanced validation module (code and architecture) as cross-project library (python, async, durable Azure function, pandas, polars, pyspark, DataBricks, Azure SQL));
- Automated initialization of tailored working environments and code deployment for Azure Function (infrastructure as a code, python with azure libraries);
- Reworked and automated data flows for periodic reports generation and dissemination (c#, vbs/vba, MS SQL Server/Oracle, Excel, csv files, emails);
- Moved existing excel reports into Power BI (incl. designing data model architecture (SQL Server and Excel), report tables, creating ETL pipelines);
- Redesigned excel data files preparation (both templates and data sourcing processes) reducing their size 10x and speeding up processing to minutes;
- Optimized SQL queries, excel files design, ETL processes between SQL Server/Oracle, flat files, excel files (c#, vbs/vba)