Position: Data engineer
Category: Data Engineer
English level: upper
Years of experience: 3


Data Engineer | Kapital Bank | Baku, Azerbaijan | Jul 2022 - Present 
- Redesigned and migrated more than 15 ETL packages from former projects to current projects.
- Designed and implemented 30+ ETL/EtLT pipelines using SQL, SAP BODS and various SQL databases. 
- Administered nearly hundred ETL jobs, fixed them when it is broken, monitored and implemented relevant changes to prevent 
possible future errors and performance issues.
- Modelling data and building data marts to minimize execution time of analytic queries.
- Tuning poorly performing SQL queries and typing ad-hoc report scripts.
- Rewriting report queries to migrate that operated on prior data warehouse.
- Searching for alternatives to ETL, data cataloging tools and testing their compatibility and harmony with existing architecture.
Business Intelligence Specialist | Veyseloglu Group of Companies| Baku, Azerbaijan | Sep 2021 – Jul 2022
- Analyzed, designed and developed new data pipelines based on business requirements, using SSIS, Azure blob storage, 
Synapse, Azure DevOps and other tools. 
- Monitored performance of data pipelines and made changes to optimize the overall performance.
- Managed and supported 200+ ETL /ELT packages and 10+ SSAS Tabular models. 
- Developed ETL packages that automated manual tasks and saved 30 minutes of BI specialists daily.
- Analyzed storage and compute costs and reduced them where it is possible.
- Implemented security guidelines by using user filters and row-level security, minimizing private data exposure.
- Writing SQL scripts for ad-hoc reporting, optimizing slowly performing report scripts that runs on ERP applications.
Data analyst | Freelance | New Jersey/ New York, USA| July 2019 – September 2021
- Built out the data and reporting infrastructure from ground up using Power BI, Tableau, Quicksight, SQL and Python to provide 
near to real-time insights into the products and business KPIs. 
- Redesigned and developed ETL processes to optimize data ingestion and check validation rules in various steps of pipelines 
ensuring data accuracy.
- Created dashboards and reports to monitor data quality and performance.
- Analyzed business processes and generated data, suggested solutions which reduced the waste.