👋 About Me: Data Architecture Lead & BI Strategist
I am a seasoned Data Engineering & Business Intelligence professional with over 15 years of experience specializing in architecting robust, Microsoft-based data solutions. My career path has allowed me to fuse deep technical expertise with a strategic leadership vision, focusing on data governance and measurable business value.
⭐ My Core Value Proposition: Experience Meets Modernization
My primary focus is transforming complex data into strategic assets. I don't just build systems; I ensure they are designed for scalability, auditability, and executive decision-making. My key strengths include:
- Foundational Data Modeling: Expertise in Dimensional Modeling (Kimball) for building resilient Data Marts, specializing in Financial Data Modeling.
- High-Performance Engineering: Optimization of T-SQL and SSIS ETL to manage high-volume, sensitive data workloads on-premise and in the cloud.
- Modernization & Cloud Adoption: Strategic adoption of next-generation tools like Microsoft Fabric to unify data, leverage OneLake, and accelerate reporting via DirectLake.
- Governance & Security Leadership: Implementing DAMA-DMBOK frameworks, Row-Level Security (RLS), and compliance standards (PCI, SRO) across all data platforms.
- BI Strategy & Deployment: Defining executive KPIs, mentoring BI teams, and deploying secure, efficient reporting solutions using Power BI and Paginated Reports.
📚 Career Journey and Focus
My career evolved from customer service and technical support to becoming a leader who builds enterprise data systems. This experience gives me a unique customer-centric perspective—I understand the end-user's pain points before writing a single line of code.
Key Role Summary:
My foundational years at Teleperformance and GTCX involved building the company's first intranet and governance frameworks from the ground up. Currently, as a Senior Data & Analytics Consultant at Neoris, I focus on modernizing financial data estates, ensuring integrity while accelerating time-to-insight for global clients.
Data Philosophy
I firmly believe that trust in data is paramount. My work centers on building systems that are:
Reliable: Achieved through robust pipelines and strict Data Quality (DQ) checks.
Auditable: With complete lineage and traceability, crucial for regulatory compliance.
Strategic: Directly aligned with the business's profitability and growth objectives.