Serverless data pipelines
Reliable data pipelines on AWS serverless.
Event-driven ingestion and processing with Lambda, SQS, Kinesis, S3, and DynamoDB, built to handle volume spikes and fail visibly rather than silently.
Approach
How a pipeline build runs
01
Ingestion and transformation
Serverless pipelines that collect, validate, and structure data from internal and external sources.
02
Model integration
Connect managed AI and ML services to the pipeline where they answer a defined business question.
03
Observability
Error tracking, dead-letter handling, and dashboards so failures are visible and recoverable.
Good fit
Who this is for
- Teams with manual or fragile data workflows
- Products that need near-real-time processing of events or records
- Analytics teams moving batch jobs to event-driven pipelines
Next steps
- 01Describe the sources, volume, and destination
- 02Review a proposed pipeline design
- 03Agree a fixed-scope build