• Data Pipeline Development: Designed and maintained scalable data pipelines for the acquisition, transformation, and loading of large datasets from diverse sources, reducing data processing time by 30%.• ETL Processes: Developed and optimized ETL workflows using Python and Apache Spark, processing 500GB+ of data daily for efficient reporting and analytics.• Data Warehousing: Built and managed data warehousing solutions on BigQuery and Azure, improving data accessibility and performance for 50+ stakeholders.• Data Quality & Governance: Implemented data quality checks, validation rules, and data governance processes to ensure data accuracy and consistency.• Automation: Automated data ingestion and transformation processes using Airflow and custom Python scripts, saving 20+ hours per week in manual tasks.• Collaboration: Partnered with data scientists, analysts, and business stakeholders to translate data requirements into scalable solutions, enhancing decision-making.

• Cloud Integration: Utilized Azure Databricks and BigQuery to design and optimize data pipelines for marketing analytics, resulting in 40% faster data processing.• Data Transformation: Streamlined complex data transformations using SQL and Python, making datasets accessible for data analysis and reporting.• Dashboarding: Developed interactive Tableau dashboards integrating multiple data sources, enabling real-time business insights for senior management.• Leadership: Led a team of 3 data analysts across time zones, improving collaboration and project delivery.

• ETL & Automation: Automated data processes using Python, reducing manual reporting efforts by 50%.• Data Analysis: Conducted in-depth analysis of advertising campaigns using SQL and Tableau, driving data-driven marketing strategies.• Stakeholder Engagement: Acted as the primary liaison between data teams and senior management, translating technical insights into strategic recommendations.

• Campaign Management: Executed, managed, and optimized online media campaigns, consistently delivering results. • Data Visualization: Advanced proficiency in data visualization tools such as Tableau, Data Studio, and Domo to create insightful reports and dashboards. • Campaign Strategy: Experience with A/B testing methodologies and optimization strategies for improving campaign performance.• Business Development: Identified and cultivated new business opportunities with existing and new clients.• Leadership: Managed a team of up to 5 intern and marketing specialists

• Data Solutions: Designed and developed dynamic dashboards and automated reports using Tableau and Python for executive leadership, enabling data-driven decision-making across multiple products and markets.• Customer Behavior Analysis: Analyzed complex datasets from Google-owned platforms to uncover user behavior patterns, optimize marketing strategies, and measure campaign effectiveness, driving 15% improvement in engagement metrics.• Data Integration & Reporting: Integrated data from various sources, creating centralized data views that streamlined reporting processes for LATAM stakeholders, reducing manual reporting time by 30%.• Insight Communication: Generated actionable insights and presented findings to C-level stakeholders across Latin America, influencing strategic marketing decisions and aligning campaign objectives with business goals.• Cross-Functional Collaboration: Partnered with product managers, data scientists, and marketing teams to translate data insights into marketing strategies, contributing to 10% growth in regional market share.

• Drive innovation and store performance in customer retention by 11%• Plan, execute, test, analyze, and report social media campaign• Forecasting sales: reduced labor overspending by 9% to target• Project management and brand advocacy• Ensure business plan is shared and understood by the team• Manage a team of 15