About

Pranav Nadimpalli is a highly skilled and motivated data engineer with a passion for leveraging analytics and AI to build a better future. He is a graduate in Biomedical Engineering from IIT Madras, and is currently part of the Data Engineering capability at ABInBev, Bengaluru, where he works on deploying and optimizing analytics workflows to identify legal risk in Anheuser-Busch's payments. Pranav has ensured data stewardship to stakeholders for 1.1 billion rows of data containing $4.5 billion worth of payments, via data quality tracking across 7 BUs and 8 dashboards with less than 0.5% flagged records. He has also performed end-to-end integration of 30,000+ SaaS data related to corporate investigations with 200% improvement in TAT for data refresh post-integration. Pranav has experience in designing and implementing complex data pipelines and management protocols, having implemented data recovery and management protocols for 60+ data pipelines and 100+ datasets in Microsoft Azure DevOps. He is also a published author, having written a white paper titled "Assessing legality of cryptocurrency as a future asset for 2030: Review of Indian public policy measures" as part of his role as an Impact Fellow at Global Governance Initiative. In addition to his work experience, Pranav has a strong educational background, having completed a B.Tech and M.Tech in Biomedical/Medical Engineering from IIT Madras, and a Diploma of Education in Blockchain Development and Distributed Ledger Technologies from IIIT. He has also been recognized for his exceptional skills in data engineering and analysis, having led a winning team at the MIT COVID-19 Challenge where he designed an IoT network of biosensors in wastewater to sustainably track the COVID-19 and future pandemics at a national scale. Pranav has a diverse skill set, including expertise in Data Engineering, SQL, Azure, AI, Computer Vision, DevOps, Integration, Pytorch, Python, Deep Learning, Hyperparameter, Pandas, Scikit, Ethereum, Solidity, Blockchain, Smart Contract, Dapp, Databricks, CI/CD, test, qa, Kubernetes, Docker, Research Scientist, Tensorflow, and Salesforce. With 3.20 years of relevant experience, Pranav is a valuable asset to any organization looking for a skilled and motivated data engineer.