Case Study
Data Engg & Analytics

Built an AWS-based Serverless ETL Datalake in Less Than 4 Months

About This Project

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.


Data Engg & Analytics


About the Client

The New York-based client has received total funding of $32M

Understanding the Challenge

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.

VP, Engineering at Customer Data Platform Startup

How We Made It Happen

Velotio designed the data-lake and ETL as follows:

  • Data Ingestion: Velotio designed an ingestion system using AWS ECS. Realtime streaming data was sent directly to Kafka using Amazon's Managed Streaming service. Certain data like CSV, TSV, and XLS files were directly loaded to AWS S3.
  • Data Transformation: The team utilized serverless services like AWS Glue (Spark) and AWS Lambda (Python) to sanitize the ingested data. Clean data was then pushed to another AWS S3 Bucket.
  • Serverless Datalake: AWS S3 is used as a datalake with AWS Athena to perform basic queries on it.
  • Advanced Analytics and Machine learning: The customer wanted to perform additional queries.
(Image: Serverless ETL Solution)

How Velotio Made a Difference

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.

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