Position: Lead Data Engineer
Category: Lead
English level: upper
Years of experience: 11

Successfully accomplished projects:

- to migrate existing banking infrastrucutre from propietary tools to Cloudera Ecosystem (Hadoop, Hive, Spark) and reporting UI. Results: significant cost reduce due to Windows Server and High Power Computing grid decommission.

- creating new data infrastructure for global Fintech holding allowing close to real time reporting of more than 1k KPIs within a very limited budget that included but not limited to: risk analytics, regulatory reporting, marketing automations, top management reports; Results: company volume growth by 600% within 2 years.

- creating & partial migration of infrastructure from Microsoft ecosystem to open source stack to: reduce costs, improve efficiency and concurrency, introduce AI and advanced analytics, improved scalability and automations.
Building end to end Fintech Data and BI solutions (Team/Tech Lead) on top of Microsoft and AWS stack.
- Python (PCAP Certified);
- AWS Aurora, AWS Redshift,  AWS SQS, AWS S3, EC2, Boto3 SDK;
- Microsoft SSAS Tabular modeling, DAX, Power Query (MCSA Certified);
- Microsoft SQL Server 2008-2019, SSIS (MCSA Certified);
- Power BI (both cloud and on premises), SSRS;
- ETL & ELT Development;
- Prefect Orchestation, Docker;
- CI/CD Using TFS (Azure DevOps Server);

- understanding data design principles;
- establishing data processes and pipelines from scratch;
- establishing CI/CD and team as working unit;
- deep dive into domain to understand business operations better and focus on deliverable items leading to increase of income;
Not interested in short term projects.
Preferrable domains are: fintech, trading, gambling, gaming.