The customer wanted to build an intelligent Customer Data Platform (CDP) that aggregates and organizes all customer interactions, both online and offline, with a brand -- all in one place in real-time. The idea is to provide a unified view of the customer journey to provide insights for better decision-making.
The New York-based client has received total funding of $32M
The client wanted Velotio to build and automate a serverless ETL data lake that requires minimal infrastructure maintenance and scales easily with AWS as the data load increases.
It should also support disparate data sources, like real-time stream data, live transactions, historic customer data, or batch records. They wanted to keep their cloud costs within their limited budget and wanted the solution to be deployed and rebuilt easily from the scratch, without any manual intervention.
Velotio's Data Engineering Team is quite skilled and flexible. They were able to understand the business problem and architect a tailor-made solution. The engineering team delivered the solution against very tight deadlines. We were truly impressed.
Velotio designed the data-lake and ETL as follows:
Designed a server-less ETL solution with 50% lower costs vs traditional solutions
Delivered the solution in a record time of 4 months in time for the next fundraising round.