Venkatasai Adicherla is a data engineer with nine years of experience and a focused five-year track record building scalable, cloud-native data platforms on Azure. He has designed and implemented end-to-end ingestion, transformation, and warehousing solutions using Azure Data Factory, Databricks, Data Lake Storage and Synapse, while optimizing pipelines for performance and reliability in enterprise environments. At EY he bridged business stakeholders and technical teams to translate supply-chain requirements into production analytics on platforms like Aera, and now contributes similar expertise to Chubb’s data initiatives. A machine learning enthusiast with a strong Python background and hands-on MTech training from NIT Surat, he combines practical engineering with analytical curiosity. Colleagues value his ability to tune complex data workflows and resolve production incidents quickly, reflecting both operational discipline and an appetite for applied ML.
9 years of coding experience
4 years of employment as a software developer
Graduation, Computer Science, A, Graduation, Computer Science, A at GuruNanak institute of technology, Hyderabad
Master of Technology - MTech, Computer Engineering, Master of Technology - MTech, Computer Engineering at National Institute of Technology Surat
High School, Mathematics, Physics and Chemistry, A*, High School, Mathematics, Physics and Chemistry, A* at NRI Academy
Machine Learning (Beginners Hub), information(courses, books, cheat sheets, live sessions) related to machine learning, data science and python is available
Contributions:34 commits, 33 pushes, 1 branch in 1 year 2 months
Specialization in Python with flask towards Data Science
Contributions:93 commits, 87 pushes, 1 branch in 4 months
data-scienceflaskpythondatasciencelinux
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.