Technologies Overview

This document provides an overview of the programming languages and technologies I use professionally.

Programming Languages

Most-Used Languages

• C#
• Python
• C++
• TypeScript
• HTML
• CSS
• SQL

Other Languages

• Java
• JavaScript
• Scala
• YAML
• Lua

Technologies

Back-End Technologies

• REST APIs: .NET, Spring Boot, Django, Flask
• Pub/Sub Systems: Apache Kafka, RabbitMQ, Azure Event Hubs
• RDBMS: MS SQL, PostgreSQL, MariaDB
• NoSQL Databases: Redis, Cassandra, Elasticsearch, MongoDB, Neo4j, Cosmos DB

Front-End Technologies

• Web/Mobile Development: Angular, Razor, Xamarin
• Game Development: Unity, OpenGL, SDL, LÖVE2D

Testing Tools

• Cypress, MS Test, xUnit, Moq, JUnit, Apache JMeter, Cucumber, Selenium

Cloud Infrastructure

Azure Services

• Azure App Services, Azure App Service Environments, Azure Functions
• Azure Event Hub, Azure Storage (Blobs, Tables & Queues), Azure SQL
• Azure Cognitive Search, Azure Container Registry, Azure CDN
• Network Security Groups, Azure Traffic Manager, Azure Cosmos DB
• Azure Key Vault, Azure Active Directory, Azure OpenAI

AWS Services

• Amazon RDS, Amazon S3, Amazon EKS, Amazon Simple Email Service
• AWS Systems Manager, Amazon Route 53

Infrastructure as Code

• Terraform

Containers

• Docker, Kubernetes

DevOps

Build and Release Pipelines

• YAML

Continuous Integration / Continuous Deployment (CI/CD)

• Azure DevOps, GitHub Actions

Authentication and Authorization

• JWT (JSON Web Tokens), OAUTH2, AWS Cognito, OKTA
• Multi-Factor Authentication (MFA), Identity and Access Management (IAM)
• Role-Based Access Control (RBAC)

Data Science and Machine Learning Libraries

• Pandas, NumPy, Scikit-Learn, TensorFlow