Data Engineer at Nestlé, specializing in the Azure and Databricks stack. Certified as a Databricks Data Engineer Associate, with extensive
experience in Power BI development and analytics since 2020. Skilled in working with big data, diverse architectures, and data-driven
organizations to deliver high-quality, actionable insights.
A quick learner, persistent, and resilient professional, dedicated to continuously improving and overcoming challenges.
• Developed and optimized Delta Lakehouse architecture within the Azure and Databricks ecosystem.
• Implemented One Big Table solutions to streamline big data processing and enhance scalability.
• Achieved over 99% performance improvement in DAX calculations for Mexico’s main Sell-Out Report using Python and SQL (Apache Spark).
• Integrated diverse data sources into the lakehouse environment, ensuring seamless access and availability.
• Led and developed cross-functional projects for sales, finance, supply chain, and surveys, including handling sensitive data.
•Developed Power BI dashboards and automated workflows using Python and Google Apps Script (JavaScript).
• Integrated with APIs for Sell-Out analysis and assessed the ROI of external teams.
• Designed and deployed custom applications to enhance business operations.
• Created import and competition reports, providing valuable insights for strategic decisions.
• Delivered competitive pricing solutions and developed corresponding dashboards for market analysis.
• Defined and implemented KPIs and metrics to measure the success of Trade Market campaigns (ROI).
• Automated email notifications during campaigns using Python-based bots, resulting in cost savings.
• Assisted in the development of Power BI dashboards and ETL processes for the LATAM region.
• Delivered sales intelligence dashboards and automated competitive intelligence reports for the Americas.
• Conducted ad-hoc studies on market quotas for importing greenhouse gases and provided insights for decision-making.
• Developed automated solutions for market price tracking and visualization, improving data accessibility and analysis.