Scaling a data platform for a 400% increase in users

The client has a platform for managing post-transaction data. Our task was to upgrade it, to make it run faster and scale more easily. The client expected the solution to be powerful enough to process data for four times as many users as the original on-premises software while ensuring security and regulatory compliance. 

Our team worked on an extended MVP of this platform. Efficient data processing is now possible regardless of the data format or type of financial product. We used Python to build scalable ETL pipelines and React to create interfaces. The result was a flexible, Azure-based system that reduced data delivery time and cut the client’s capital spending by 60%. 

In the next phase, our team will extend the solution with new features and scale it further.