About

Amit S. is a highly accomplished Principal Engineer with over 16 years of experience in software development, cloud architecture, and solutioning. He has rich experience in Microsoft Azure cloud, data engineering, big data, machine learning, data governance, and technical consulting. Amit has strong analytical and problem-solving skills with sound experience in designing and developing complex enterprise applications. Amit's experience includes working with Terraform, continuous integration/continuous deployment using Azure DevOps and GitHub Actions. He has experience in Azure Data Factory, Azure Machine Learning, HDInsight, SQL Database, designing Data Lake, Data Lakehouse, Azure Synapse, and other Azure components. Amit has also developed big data applications for batch processing systems as well as real-time processing systems and has experience in Azure administration. Currently, Amit is working as a Principal Engineer at General Electric, where he has been for over six years. Prior to this, he worked at Accenture as a Technical Lead for 14+ years, where he gained experience in Microsoft Azure Cloud, Azure DevOps, Azure Data Factory, Azure Data Bricks, big data, machine learning, and Python. He also worked at American Express as a Development Team Lead, where he was responsible for coordinating with clients, architects, working groups, and key stakeholders of projects requirements. Amit also migrated data from on-prem to Azure cloud in Azure data lake stores and provided best practices and consulting to clients. He was involved in many POCs and technical and non-technical audits, code reviews, and PowerShell scripts to automate processes. Amit holds a Bachelor of Technology degree in Information Technology from Motivational Pathway. His tech stack includes Azure, big data, machine learning, DevOps, CI/CD, software engineering, SQL, Python, Terraform, data engineering, integration, senior software engineering, test, and infra. Overall, Amit has 18.46 years of relevant experience, making him a valuable asset to any organization looking to leverage cloud technologies and data engineering.