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Design and operate scalable eCommerce data pipelines using Azure Databricks, PySpark, and SQL to integrate high-volume platforms and deliver analytics-ready data products for Latin American markets.
IT intern in Santiago, Chile, building data pipelines and reports with Python and SQL to turn raw data into business insights for P&G’s operations.
Manage and improve P&G’s IT infrastructure reliability by implementing observability tools, automation, and SLOs to ensure high availability and fast incident response.
Designs and builds cloud-based data pipelines and analytics platforms using Python, Spark, and Databricks to process retail execution data for P&G.
Build and automate Azure-based data and AI platforms using Terraform and Azure DevOps, ensuring scalable, secure infrastructure for Data Engineers and Scientists.
Designs and implements an Active Metadata ecosystem for P&G’s global Data Lakehouse, using Databricks Unity Catalog and AI-driven tools to automate governance, security, and data discoverability.
Senior Data Scientist in P&G’s Model Risk Office reviews ML, optimization, and GenAI models for methodology gaps and risks, guiding teams to build reliable, production-grade algorithms across retail, supply chain, and other domains.
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