Data Engineer at Banqsoft
Specialising in Microsoft Azure, Python development, and AI-enabled data solutions for the financial technology sector.
LinkedIn ProfileData Engineer with over nine years of professional experience spanning data analytics, business intelligence, and cloud engineering. Currently specialising in the Microsoft Azure ecosystem — building and maintaining data pipelines, developing Python-based cloud applications with integrated AI capabilities, and applying Azure AI services, including Azure AI Foundry, to deliver intelligent solutions within the financial technology domain.
Combines a strong foundation in ETL architecture, SQL, and statistical analysis with practical expertise in Azure cloud services, Python development, and AI/ML integration. A certified Six Sigma practitioner with a demonstrated ability to translate complex data into actionable business insights, supported by extensive experience across enterprise platforms such as ServiceNow, SAP, and Salesforce.
Designs and implements data pipelines, develops Python-based Azure cloud applications with AI-driven functionality, and works extensively with Azure AI services, including Azure AI Foundry. This work centres on building intelligent, scalable data solutions that support financial technology products and services.
Led end-to-end data analytics operations across the Command Central, Critical Communications, and Technical Support departments, using Azure, Python, and REST APIs to deliver insights directly to senior leadership.
Directed global process improvement initiatives and Salesforce CRM optimisation, improving productivity and operational efficiency across customer experience functions.
Roles encompassing SAP implementation, process optimisation, strategic procurement, and financial analysis across international manufacturing and consumer goods organisations.
Presidential Grant recipient, selected from candidates across five countries.
For professional enquiries, please contact Irina Dreichuk via LinkedIn.
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