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Data Lake Implementation

Challenge

Client struggled with manual data loads across multiple custodians (LPL, Fidelity). Lack of a central truth led to frequent analytical errors and 20+ hours of manual reporting weekly.

Solution

Engineered an automated data lake using Azure Blob storage and SFTP triggers. Developed a custom ETL pipeline to normalize data from three different custodians into a unified warehouse.

20h

Weekly manual effort saved

99%

Data ingestion accuracy

Real-time

Dashboard availability

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Data Lake Implementation

F2 STRATEGY