Azure Cloud Engineer

SAN0591

About Candidate

Introduction

The candidate is a Senior .NET / Azure FullStack Cloud Engineer with 11 years of experience, specializing in designing enterprise applications across multiple industries, including Fintech, Banking, Energy, Pharma, and Logistics. Known for a problem-solving approach, the candidate excels at optimizing cloud services, particularly within Azure, to improve performance and scalability. Their expertise spans across .NET technologies, Azure cloud services, microservices, and big data processing.

Key achievements include significant performance improvements for large-scale data processing (over 1 million records) and optimizing fraud detection systems. The candidate has designed and developed core modules for multiple sectors, driving operational efficiency and enhancing business outcomes.

They have strong leadership skills, acting as the primary point of contact for performance-related issues and have experience mentoring teams, as well as implementing best practices for cloud-based deployments. The candidate has been involved in several key projects, including fraud detection systems, energy distribution optimization, and advanced 3D visualization tools for the manufacturing sector.

Responsibilities:

  • Designed and optimized multi-threaded engines for big data processing using Azure services (Durable Functions, Databricks).
  • Led the development of complex, event-driven systems for payment processing, fraud detection, and transaction monitoring.
  • Architected cloud-native solutions for scaling applications from on-premises to Azure cloud, improving performance and reducing operational costs.
  • Integrated Azure Event Grid, Service Bus, and Key Vault for enhanced service communication and security.
  • Improved application performance by optimizing data storage solutions (CosmosDB, Redis) and utilizing advanced cloud tools (Azure Functions, Durable Functions).Developed tools for visualizing deployment artifacts and managing system dependencies using Azure DevOps and Digraph.
  • Reduced document processing time and optimized storage throughput for pharmaceutical and logistics applications.
  • Led and mentored teams, ensuring best practices for cloud deployment, microservices architecture, and DevOps automation.

Skills

Languages & Frameworks: C#, .NET Core, Entity Framework, LINQ, JavaScript, TypeScript, Node.js, React.js, Angular.js, Vue.js Cloud Technologies: Azure (Functions, Durable Functions, Event Grid, Service Bus, KeyVault, CosmosDB, SQL Server), Azure DevOps Databases & Data Processing: Azure SQL, MongoDB, T-SQL, Apache Parquet, Redis Microservices & APIs: REST, SOAP, gRPC, WebSockets, Webhooks, Microservices Development Tools: Git, GitHub Actions, Azure Repos, Docker, Kubernetes, Terraform Testing & Automation: NUnit, xUnit, Selenium, Cypress.js, Jest, Mocha Methodologies: TDD, SOLID, KISS, YAGNI, CI/CD

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