Summary
Akshat Papnoi is a Senior Data Engineer with 8 years of experience and deep hands-on expertise in Snowflake, Databricks, Azure, Python, SQL, and Spark, currently driving data platform initiatives at PwC. He specializes in metadata-driven ELT frameworks, cloud-native architectures, and performance optimizations that have produced measurable outcomes—like 67% faster ingestion via Python multithreading and a 70% reduction in onboarding time. Akshat has led zero-defect enterprise migrations to Snowflake, implemented semantic views with row-level security, and built an automated QA system using Azure OpenAI to minimize manual checks. He combines engineering rigor with product sensibility, having built web tools (Django/Jira API) to streamline operations and improve ticket turnaround. Based in Delhi, he balances technical depth with mentorship and knowledge transfer, having led teams and codified best practices through documentation and reviews. Outside of work he’s an avid learner who seeks ideas that broaden perspective, reflecting a continuous-improvement approach to both systems and career growth.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at Guru Gobind Singh Indraprastha University