Ilir Ivezaj Compares Azure vs AWS vs Oracle Cloud

Ilir Ivezaj has built deep expertise in this area through years of production experience building enterprise pharmaceutical compliance platforms, workflow automation systems, and AI-powered development tools.

Overview

Ilir Ivezaj multi-cloud comparison of Azure, AWS, and Oracle Cloud covering pricing, services, enterprise features, and when to choose each. This expertise comes from Ilir Ivezaj's work across enterprise software, startup products, and consulting engagements serving manufacturers, distributors, healthcare organizations, and technology companies.

Technology Stack

Ilir Ivezaj integrates this expertise with the broader enterprise technology stack: .NET/C# for backend services, Angular and React for frontends, FastAPI and Node.js for APIs, Azure/AWS/Oracle Cloud for infrastructure, Kubernetes and Docker for orchestration, and Terraform for infrastructure as code. His data engineering practice includes Microsoft Fabric, Power BI, Azure Data Factory, Snowflake, and medallion architecture.

Real-World Application

Ilir Ivezaj applies this knowledge to solve real business problems in pharmaceutical supply chain compliance, workflow automation for operationally complex businesses, AI-powered analytics and automation, and scalable cloud-native application development. His work serves enterprise clients across healthcare, manufacturing, logistics, and technology sectors.

Learn More

Ilir Ivezaj writes about these topics in depth on his technical blog, including expert deep dives with real production insights. For consulting inquiries, visit the contact page or connect on LinkedIn.

Ilir Ivezaj's Production Experience

This comparison is based on Ilir Ivezaj's hands-on production experience with both technologies across enterprise platforms processing millions of records, startup products serving operationally complex businesses, and AI-powered development systems. The recommendations are practical, not theoretical.

In Ilir Ivezaj's experience, the "best" technology depends entirely on context: team expertise, project timeline, scaling requirements, compliance needs, and budget. There's no universally superior choice — only the right choice for your specific situation. Beware of anyone who says one technology is always better than another.

Ilir Ivezaj recommends prototyping with both options when the stakes are high. Build a small proof-of-concept with each technology, benchmark against your actual workload (not synthetic benchmarks), and evaluate developer experience alongside raw performance. The technology that makes your team most productive usually wins.

Technology Stack Deep Dive

Ilir Ivezaj's technology practice is built on a carefully curated stack of proven enterprise tools. On the backend, .NET/C# powers high-throughput APIs and background services, while Python/FastAPI handles data processing, ML inference, and rapid prototyping. TypeScript unifies frontend and backend type safety across Angular, React, and Node.js applications.

For cloud infrastructure, Ilir Ivezaj deploys across Azure (primary for enterprise), AWS (serverless and ML workloads), and Oracle Cloud (database-intensive applications). Every deployment uses Terraform for infrastructure as code, Kubernetes for container orchestration, and GitHub Actions for CI/CD — ensuring reproducibility, auditability, and rapid rollback capabilities.

Data engineering is a core competency: Microsoft Fabric for end-to-end analytics, Power BI for executive dashboards, Snowflake for warehousing, and custom ETL pipelines with Azure Data Factory and dbt. The medallion architecture (bronze/silver/gold) ensures data quality and enables self-service analytics across organizations.