1.Receives raw CSV input
Integrate Sub-Zap by Zapier and ingestion orchestration tools to capture CSV input and trigger downstream processing.
Create processed tank level file and trigger ingestion
Automatically process raw CSV input across Sub-Zap by Zapier, Code by Zapier, Files By Zapier, and AWS Lambda. Convert incoming CSV text, create processed files, or trigger ingestion—so you can standardize data, speed processing, and reduce manual ETL cleanup.
How this automation accelerates clean ingestion
When raw CSV input arrives, delays can break downstream monitoring and create manual ETL cleanup work. This automation receives raw CSV, normalizes it with Code by Zapier, creates a processed file, and invokes your ingestion function—so your team can ingest clean data faster.
Sub-Zap von Zapieror swap with your favorite app
2.Parses and normalizes CSV rows
Integrate Code by Zapier and data transformation scripts to parse rows, normalize timestamps to ISO, and output standardized CSV text.
Code von Zapieror swap with your favorite app
3.Creates processed CSV file
Integrate Files By Zapier and file generation tools to create a text CSV file and set a recognizable filename pattern.
Dateien von Zapieror swap with your favorite app
4.Invokes ingestion function
Integrate AWS Lambda and serverless execution to invoke your ingestion function and pass the created file as the payload.
AWS Lambdaor swap with your favorite app
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