Data Pipeline with Amazon Athena

Abstract cloud data network with cyan flow lines and orange processing light

CASE STUDY SNAPSHOT

A focused case study shaped around the project’s real problem.

A short framing note that explains why the project matters and what the reader should look for.

Project flow

A quick read of how the work moves from raw material to useful insight.

01

Source

Identify the project inputs and raw material.

02

Transform

Clean and prepare the data for analysis.

03

Model

Shape the data around the core questions.

04

Insight

Turn the work into decisions and next steps.

I am building a batch-processing pipeline for a mobile game studio. The project connects MySQL revenue and engagement data to an Amazon S3 data lake, transforms it with AWS Lambda and Amazon Athena, creates an optimized Iceberg table, provisions infrastructure with CloudFormation, and finishes with a QuickSight analytics dashboard.

I am building a batch-processing pipeline for a mobile game studio. The project connects MySQL revenue and engagement data to an Amazon S3 data lake, transforms it with AWS Lambda and Amazon Athena, creates an optimized Iceberg table, provisions infrastructure with CloudFormation, and finishes with a QuickSight analytics dashboard.

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