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03 / ABOUT
Experience grounded in
continuous learning.
Aziz Iskandarov is the Founder of AIDataCenter, a Data Architect and Data & AI Engineer bringing many years of experience to complex data, analytics and applied AI initiatives.
✦FOUNDER PROFILE
Aziz Iskandarov
Founder, AIDataCenter · Data Architect · Data & AI Engineer
Aziz combines enterprise architecture, hands-on engineering and analytical thinking to build data ecosystems that are reliable, scalable and ready for intelligent applications. His expertise spans Azure data engineering, Microsoft Fabric, Synapse, Power BI, data warehousing, governance, automation, machine learning pipelines, AI agents and large language model applications.
His industry experience includes demanding banking and oil-sector environments, where data quality, security, traceability and operational reliability are essential. He has designed modern lakehouse architectures, engineered complex ingestion and transformation pipelines, improved enterprise reporting, supported high-volume analytical workloads and developed AI-ready data foundations.
PROFESSIONAL CREDENTIALS
Validated capability.
Applied in practice.
Selected certifications and credentials earned across cloud data engineering, analytics, AI and security.
MICROSOFT
Microsoft Certified: Fabric Analytics Engineer Associate
Microsoft Fabric · Power BIMICROSOFT
Power BI Data Analyst Associate
Power BI · SQL · Data modellingMICROSOFT
Microsoft Certified: Azure Data Engineer Associate
Azure data engineeringMICROSOFT
Microsoft Certified: Azure AI Fundamentals
Azure AI · NLP · Generative AIMICROSOFT
Microsoft Security Operations Analyst
Security operations and analysisCredential status and renewal periods may change. Titles shown represent credentials earned; the AWS certification is currently active through the date noted.
ADVANCED AI DEVELOPMENT
Responsible AI and machine learning.
Completed through Amii—the Alberta Machine Intelligence Institute—as part of the AI Pathways program supporting Canada’s low-carbon workforce.
- 01AI Pathways: Energizing Canada’s Low-Carbon Workforce — Technical Track Complete
- 02AI Pathways: Energizing Canada’s Low-Carbon Workforce — Foundations Track Complete
- 03AI Pathways: Responsible AI 1 & 2
- 04AI Pathways: Machine Learning Foundations 1 & 2
EDUCATION
Business perspective.
Technical depth.
A multidisciplinary academic foundation connecting economics, international business, financial services and marketing with modern data and AI expertise.
Tashkent State Institute of Oriental Studies
Bachelor of Economics
World Economy and International Economic RelationsGeorge Brown Polytechnic
Undergraduate studies
Marketing and Financial Management ServicesCentennial College
Marketing Management
Financial ServicesHOW EXPERIENCE BECOMES VALUE
Architecture
Designing coherent platforms across Azure, Fabric, Synapse, lakehouse and warehouse patterns.
Engineering
Building resilient pipelines, transformations and curated data products with SQL, Python and PySpark.
Analytics
Creating trusted Power BI models, governed metrics and decision-ready reporting.
Applied AI
Preparing high-quality data and production pathways for machine learning, AI agents and LLM applications.
Industry context
Understanding the controls, reliability and operational realities of banking and the oil industry.
Leadership
Turning complex requirements into clear technical direction, measurable outcomes and maintainable systems.
READY TO MOVE FORWARD?
Build the next intelligent
system with us.
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