I am an accomplished Technical Architect with a deep and diverse background across AWS, GCP, and Azure. My journey in the tech industry has spanned various roles, each contributing to my holistic understanding of the technological landscape. From my beginnings roles in Operation Management to role of Network Engineer, DevOps, and Technical Architect provided me extensive experience in Microservices, Cloud infrastructure, MS Entra ID, Python, Flask, Django, DevOps and automation, IP Networking, I have cultivated a unique blend of skills that set me apart. My expertise lies in application development, data analytics, and system design. I am adept at harnessing the power of DevOps tools and implementing industry best practices scalable solutions. I have a knack for wearing multiple hats, allowing me to ensure successful project outcomes that align with both immediate needs and long-term strategic goals. The passion to learn more and more deeper I experimented with several technologies in cloud infrastructure the one very exciting was designing and deployment of Azure VMware Solution (AVS) as a disaster recovery site for on premises VMware Solution i.e setting up a private cloud on public cloud this was one of cost critical and a rare approach as nodes are not generally available that was s fascinating work. My curiosity and interest in data technologies led me to explore and achieve significant accomplishments includes architecting and implementing a robust Data Platform solution on Microsoft Azure Cloud. This involved integrating core components such as ADLS Gen2, Azure Data Factory, and Azure Synapse Analytics, while also leveraging Azure services for data visualization, monitoring, authentication, and access control. In addition to my work with data platforms, I have led design and implementation of the GenAI platform. This platform focuses on response generation through NLP from private organizational data. Leveraging Azure OpenAI Studio with GPT-3.5-Turbo, I managed to integrate with Azure Cognitive Search and Azure Document Intelligence. My journey in DevOps has been equally rewarding. I have implemented CI/CD pipelines using diverse tools and platforms including but not limited to Docker, Kubernetes, Terraform, CloudFormation, Jenkins, Git Actions, AWS CodePipeline, and Azure DevOps boards, ensuring efficient deployment processes. I have a robust set of problem-solving skills, enabling me to think creatively and devise solutions to intricate challenges. My strength lies in designing effective solutions that address complex issues. I have strong communication abilities and the ability to work well in a team environment. My commitment to continuously staying updated with the latest advancements in cloud and data technologies for professional growth keep experimenting with new technologies and approaches. Excited by the dynamic nature of the cloud and data landscape, I am keen to contribute to new and innovative projects in this rapidly evolving field.