Serverless data pipeline programs that are built without certified AWS experience and insurance domain knowledge produce architectures that are technically functional but operationally expensive — requiring more infrastructure management than the serverless model was chosen to eliminate. The certified AWS background and lakehouse design expertise that Mahati's AWS Glue specialists bring reflects experience building cost-efficient, scalable processing architectures for insurance data environments where source variety and compliance requirements place specific demands on how pipelines are designed. Automation scripts, catalog accelerators, and proven design patterns refined through insurance analytics programs differentiate an implementation that delivers faster insight from one that delivers faster infrastructure bills. Businesses gain the analytics velocity the platform promises with the infrastructure overhead it was designed to remove.
Serverless data pipelines that require significant infrastructure management are not delivering on the model's core promise.
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