When I joined the team, social media metadata and posts were being uploaded manually. TheWhen I joined the team, social media metadata and posts were being uploaded manually. The
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When I joined the team, social media metadata and posts were being uploaded manually. The process was repetitive, time-consuming, and not scalable. It limited the volume of data we could handle and increased the risk of inconsistencies and human error.
I proposed replacing the manual workflow with an automated ETL pipeline. Using Python and version-controlled workflows in GitHub, I built a system to extract data directly from social media APIs, transform and standardize the datasets, and load them into BigQuery.
The result was a fully automated, scalable pipeline with validation controls and traceability. What used to require daily manual intervention became a reliable production process capable of handling large volumes of data efficiently.
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Cool work, Agustin! 🔥
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