Case Study: Lendingkart achieves 4× more data loading at the same cost with Hevo Data

Learn How Lendingkart Extracts, Transforms and Loads 4X More Data Using Hevo

Lendingkart, a non-deposit-taking NBFC that relies on ML-driven underwriting to evaluate SME loans, was hampered by time-consuming, error-prone custom scripts to replicate, clean, and transform data from multiple sources. To solve this, they turned to Hevo Data’s Unified Data Platform (no-code data pipelines) to provide a reliable, automated way to connect their SaaS tools and databases.

Hevo Data delivered pre-built connectors and automated, fault-tolerant pipelines — leveraging features like auto-mapping, CDC, JSON API parsing and a Python interface — to load data into Amazon Redshift and S3. The result: Lendingkart now ingests 4x more data at the same cost, dramatically reduces manual effort, and frees engineering bandwidth for higher‑value projects.

Lendingkart

Pradeep Sharma

Sr. Director of Engineering