Driving India’s Cashless Payment Revolution with Google Cloud BigQuery

2 min readJul 20


As cashless transactions started gaining rapid popularity across India, empowering millions of offline merchants to seamlessly embrace digital payments became more important. In this dynamic landscape, BharatPe, a leading fintech company, was at the forefront of revolutionizing traditional cash and carry transactions with its innovative QR code solution. To ensure smooth and efficient operations while harnessing the power of data analytics and AI, BharatPe relied on Google Cloud’s cutting-edge technology, specifically leveraging BigQuery to process vast amounts of data effortlessly.

BigQuery’s serverless architecture relieved BharatPe from infrastructure management, enabling the team to focus on critical business tasks instead. The platform’s remarkable speed allowed the company to query terabytes of data within minutes, providing swift access to valuable information.

In a multi-cloud environment, BharatPe used Cloud Composer and Dataflow to create data pipelines and efficiently scale their data processing, particularly for machine learning workflows. They ran thousands of Directed Acyclic Graphs (DAGs) in the Cloud Composer environment, streamlining their operations with a lean team.

With the help of machine learning algorithms in BigQuery, BharatPe accelerated loan approval decisions for merchants, automating processes and reducing manual intervention. VisionAI assisted in verifying KYC information, ensuring secure and efficient loan processing.

By leveraging BigQuery’s marketing analytics capabilities, BharatPe refined its customer acquisition strategy. Analyzing campaign data helped them identify successful marketing channels and improve customer engagement through personalized messages.

Through the adoption of Google Cloud’s BigQuery, BharatPe harnessed the power of data analytics, enhancing their ability to make data-driven decisions and stay at the forefront of India’s fintech landscape.

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