Following a merger, compliance teams must audit all incoming user databases to ensure compliance with strict privacy regulations (GDPR/CCPA). Doing this manually or via a single server instance is slow and expensive. We built a fully serverless, scalable ETL pipeline to automate legal discovery and sanitize data.
Pipeline Orchestration with AWS Step Functions
AWS Step Functions coordinated our serverless flow: processing databases exported from target systems, sanitizing PII (Personally Identifiable Information), and loading compliant structures into corporate data lakes.
{
"StartAt": "TriggerBatchScanner",
"States": {
"TriggerBatchScanner": {
"Type": "Task",
"Resource": "arn:aws:lambda:us-east-1:123456789:function:BatchScanner",
"Next": "IsScanComplete"
},
"IsScanComplete": {
"Type": "Choice",
"Choices": [
{
"Variable": "$.status",
"StringEquals": "COMPLETED",
"Next": "EncryptDataLake"
}
],
"Default": "WaitTenSeconds"
}
}
}The serverless setup scaled seamlessly to process over 40 million rows in under 20 minutes, reducing server maintenance costs to zero.
ulil albab
Technical M&A Lead & Infrastructure Architect
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