Eric Xavier

Develop and maintain ETL workflows and data integration for reliable data warehouses—design data models for analytics, including star schemas and data marts. Create interactive dashboards (Power BI, Qlik, DOMO) for actionable insights. Optimize queries and pipelines for performance, enforce data governance, and ensure compliance. Collaborate with stakeholders to meet data needs and document sources, processes, and models.

Generate insightful reports by analyzing data to uncover trends and predictions, transforming them into visually compelling presentations. Manage and optimize data models while handling administrative tasks for Snowflake, Power BI, and Qlik. Ensure BI platform reliability, security, and accessibility, aligning with business and tech needs. Define metrics, establish frameworks, and create reporting mechanisms to drive continuous improvement.

Ensure BI platforms are standardized, optimized, reliable, and secure to meet business and technology needs. Manage Snowflake account provisioning and administration. Conduct data profiling, cataloging, and mapping to design technical data flows. Develop optimal solutions for data initiatives and create frameworks, metrics, and reporting to drive continuous improvement.

Experienced in Power BI and Qlik Sense development, dashboarding, and data modeling, with expertise in ad hoc reporting, DAX, SQL, and data transformation. Skilled in designing and deploying applications, ensuring visualization best practices. Proficient in ETL processes and creating QVD files. Capable of translating complex business requirements into architectural designs. Adept at developing and testing BI dashboards and reports while providing user training and documentation.

Administrate and configure the SFA system for data, devices, and security. Ensure accurate SAP ERP-SFA data flow, test updates in a test environment, and monitor MDM servers. Provide remote support, reproduce device issues, and offer feedback for bug fixes. Conduct training, prepare real-time reports (Crystal Reports), and resolve issues promptly.

Introduction to Big Data and Data Science, exploring BI tools and applications, data management, warehousing, and web mining. Covers business modeling, analytics, statistics, and research methods for effective data-driven decision-making.

Covers Computer Fundamentals, Mathematical Foundations, System Analysis & Design, Advanced Programming Languages, Database Systems, and Advanced Data Structures for comprehensive technical expertise.