Data Specialist on projects for AB InBev, working within an international team and responsible for developing complex, scalable data solutions. I leverage advanced tools such as Azure Data Factory, Databricks, and PySpark, applying object-oriented programming (OOP) to efficiently handle large data volumes. My main responsibilities include:Integrating multiple data sources and systems via APIs, ensuring continuous data updates and enabling rapid, accurate analysis.Conducting data cleaning, organization, and transformation using big data techniques and hash tables, ensuring data consistency and optimization for analysis.Building robust, scalable pipelines with Azure Data Factory and Databricks, processing large-scale data with PySpark to support critical operations and real-time analytics.Using Databricks and Azure to develop reusable and efficient notebooks, providing insights and meeting the strategic needs of business teams.Implementing hash tables for efficient data manipulation, applying OOP to develop scalable and well-structured data solutions.

Responsible for designing, implementing, and optimizing robust data pipelines, ensuring the efficient processing of financial and alert data for the company’s operations. Key activities include:Connecting data sources such as SQL databases and alert systems, transforming raw data into actionable insights using SQL, Python, and Power BI to facilitate performance analysis.Developing and managing automated ETL workflows for large-scale data loading, enabling real-time access and enhancing team efficiency.Creating compliance and operational analysis reports in Power BI to support monitoring of transactions and security alerts, identifying trends for quick decision-making.Administering Amazon Redshift, ensuring data integrity and security, while optimizing queries for scalability.Developing visualizations that help the management team intuitively monitor alert and transaction performance in real-time.

- Implementation of data security policies and regulatory compliance, using advanced data governance techniques.- I extract and process product and bidding data from government databases to meet specific business requirements.- I perform analysis of historical data for a comprehensive understanding of products and competitors, identifying the best cost-benefit ratio and the most advantageous regions with less competition.- I developed and implemented sales strategies, resulting in a 100% increase in annual revenue.- I manage the government bidding process, ensuring compliance with legal and regulatory requirements.- I negotiated complex contractual terms, optimizing proposals to maximize chances of success.

- Using data analysis to identify and engage renowned brands, increasing the exclusivity of events.- Use of predictive and descriptive analysis techniques to improve sponsorship engagement.- Using data insights to plan and execute events that meet the expectations of an elite audience, ensuring personalized experiences, Excel for financial modeling and Databricks for large-scale data processing.- Carrying out charity auctions and integrating unique experiences, using data to optimize participation and results, monitoring campaigns.

- I conducted market analyses to identify emerging trends, adjusting marketing approaches according to data-driven insights, focusing on products with the highest sales volume x margin and adapting to new products in the market.