I help customers solve complex data problems and deliver production-ready analytics solutions that actually work in the real world.
I’m a customer-focused data and analytics engineer with 6+ years of experience delivering hands-on technical solutions across SQL- and Python-based environments. My work centers on PostgreSQL analytics, query performance optimization, ETL pipeline development, data modeling, and cloud data platforms, with a strong emphasis on reliability, clarity, and customer impact.
I’ve partnered directly with stakeholders and customers to translate business and technical requirements into scalable systems, troubleshoot slow or broken queries, support data migrations, and improve data quality across production environments. I’m comfortable leading technical conversations, debugging issues under pressure, and documenting solutions so teams can move faster and with confidence.
In recent roles, I’ve designed and maintained ETL pipelines, optimized complex SQL queries, implemented data validation frameworks, and delivered real-time dashboards using SQL, Python, Tableau, and Power BI. I’ve supported forecasting and predictive analytics initiatives and managed datasets in AWS and Azure environments, ensuring governance, security, and operational best practices.
What sets me apart is my ability to bridge the gap between customers, business teams, and engineering. I communicate clearly, stay calm when systems break, and focus on delivering outcomes, not just implementations.
