Shweta Gupta is a Principal engineering leader with 11+ years of experience driving cloud transformation and large-scale engineering teams at Microsoft, now serving as Senior Director of Engineering and a Collective Member at Dancing Frog Habitat. She blends deep Azure expertise—earned through roles from Technology Evangelist to Cloud Solutions Architect—with hands-on backend work, including Node.js and Python contributions to Azure Batch sample projects. Known for re-architecting enterprise applications for cloud scale, she partners closely with customers and ISVs to convert complex requirements into resilient, production-ready systems. Her background spans product leadership in XBRL solutions and an uncommon legal diploma in information governance and data privacy, giving her a rare mix of technical, product and regulatory insight. Based in Bengaluru, she is passionate about data and open-source collaboration, with practical experience integrating cloud storage, batch processing, and data pipelines. Colleagues describe her as a strategic coach who combines technical depth with a customer-first mindset to accelerate adoption of next-generation cloud platforms.
11 years of coding experience
6 years of employment as a software developer
X, X at Sherwood Public School
Bachelor Computer Applications Management Information Systems General, Bachelor Computer Applications Management Information Systems General at Osmania University
Law Diploma in Information Governance and Data Privacy, Law Diploma in Information Governance and Data Privacy at Northumbria University
Post Graduate Diploma in Management Finance, Post Graduate Diploma in Management Finance at Symbiosis Center of Distance Learning
XII Mathematics Physics Chemistry Computers, XII Mathematics Physics Chemistry Computers at St. Ann's High School
Contributions:5 commits, 2 PRs, 87 comments in 21 days
Contributions summary:Shweta primarily contributed to the development of Node.js scripts for interacting with Azure Batch services. They focused on creating and managing Azure Batch pools, jobs, and tasks, particularly for processing CSV files. Their work involved integrating Azure Storage for data access and implementing Python scripts within the batch tasks. The user also made updates to the Python scripts to improve functionality and maintainability.
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