Results-driven IT professional with 17+ years of experience in research, analysis, and solution development. My proficiency spans across developing cloud-native applications using Azure PaaS, IaaS, and SaaS, alongside extensive experience in all phases of the software development life cycle. Proven track in Object-Oriented Analysis/Design, cloud architecture, and developing scalable web applications using C#, ASP.Net, ASP.NET Core, Blazor, and more. My skill set includes SQL Server, PostgreSQL, Oracle, MongoDB, and Cosmos DB, as well as proficiency in Python and various data science packages such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, TensorFlow, and Scikit-Learn. I possess knowledge of machine learning algorithms and predictive modeling, including regression, clustering, random forest, NLP, decision trees, time series analysis, and hypothesis testing. I'm adept with DevOps CI/CD tools like Azure DevOps, Jenkins, and Octopus, and have worked extensively with enterprise search platforms like Solr and Elasticsearch, messaging brokers like RabbitMQ and Kafka, and content management systems like SiteFinity. Additionally, I have hands-on experience with Docker, Kubernetes, Azure Kubernetes Services, and API management tools like ApiGee. Certified in Microsoft Azure Architect Technologies (AZ-303) and Azure Fundamentals (AZ-900).