Navigate through the tabs to discover more about my journey, skills, and experience.
About
Skills
Experience
I’m a data-driven professional with a passion for transforming complexity into clarity. Over
the years, I’ve delivered business intelligence initiatives that create real value, working
closely with business leaders and teams to develop data products that inform decisions,
drive performance, and support long-term growth.
My expertise covers a wide range of tools, with a primary focus on Power BI, Dremio, SQL,
MDM, Mage (DBT), and Alteryx. Using these, I deliver end-to-end scalable reporting
solutions, from data integration to visualization. More recently, I’ve incorporated AI driven
methods to identify patterns on the data and create insights, significantly reducing manual
effort.
The focus of my work has never been just on building dashboards or completing tasks. It’s
about creating data products, solutions that combine storytelling, design, and engineering,
from the data lakehouse to the final visualization. My goal is always the same: to make data
work smarter for people and organizations.
Discover my projects in data analytics, reporting, and automation, where I combine tools like Power BI, Dremio, Alteryx and Mage to solve real business challenges.
Each project highlights my focus on clarity, efficiency, and building solutions that last.
Developed advanced dashboards that turn raw data into clear, actionable insights for leadership teams. I focus on user experience, scalability, and storytelling to ensure reports drive real business outcomes. Button to take user to report
Designed and implemented data models in Dremio, leveraging Iceberg tables for performance and scalability. Built governance frameworks with row-level security and data masking to ensure secure and compliant reporting.
Created automated workflows in Alteryx to replace manual Excel processes across finance and operations. Along with advanced notification systems and PDF report generation, these pipelines reduced repetitive work, improved data accuracy, and freed up time for analysis.
Implemented DBT models orchestrated with Mage.ai to standardize transformations and improve scalability on the Dremio semantic layer. This allowed consistent data logic, faster delivery of new datasets, and a more reliable foundation for reporting and analytics.
Integrated AI-driven approaches and Python scripts into the reporting stack to automate repetitive tasks, detect anomalies, and accelerate insight generation. These solutions improved efficiency, reduced manual effort, and enhanced scalability across reporting workflows.
Built SSIS solutions to automate the daily integration of financial and operational data from multiple source systems into SQL Server. This project improved data accuracy, enabled scalable integration of new sources, and supported future migration to modern BI platforms.
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