Serverless Data Pipeline & Real-Time Analytics on AWS
Technology
What They Were Facing
Velocity, a B2B analytics platform processing 500M+ events daily, was running a fragile on-premise ETL pipeline that took 8 hours to produce daily reports. Data latency meant customers were making decisions on stale information. Infrastructure costs were escalating with every new client onboarding, and the engineering team spent 40% of their time on pipeline maintenance rather than product development. The company needed a scalable, real-time data architecture that could grow with their client base while integrating processed insights back into Salesforce for their customer success team.
How We Solved It
AQBEE designed and built an end-to-end serverless data pipeline on AWS. Amazon Kinesis Data Streams ingested real-time event data, processed through AWS Lambda functions for transformation and enrichment, and loaded into Amazon Redshift for analytical queries. AWS Glue managed the data catalogue and schema evolution. Amazon S3 served as the data lake for raw and processed data with lifecycle policies for cost optimisation. Real-time dashboards were built on Amazon QuickSight for customer-facing analytics. MuleSoft connected the AWS pipeline to Salesforce, pushing customer usage metrics, health scores, and churn risk signals into Data Cloud for the customer success team. AWS CloudWatch and SNS provided end-to-end monitoring with automated alerting.
The Impact
Replaced overnight batch processing with real-time streaming, reducing data latency from 8 hours to under 30 seconds for customer-facing analytics.
Serverless architecture eliminated idle compute costs, reducing monthly infrastructure spend by 62% while handling 3x more data volume.
Automated pipeline management freed engineers from maintenance, increasing time spent on product development by 55%.
Real-time usage data fed into Salesforce Einstein enabled proactive customer success interventions, preventing $2.8M in annual churn.
“AQBEE did not just move our pipeline to the cloud — they reimagined it. We went from an 8-hour overnight batch to real-time analytics, and our infrastructure costs went down, not up. The integration back into Salesforce means our CS team sees a customer health score that updates every 30 seconds. That is a competitive advantage.”
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