Darlene Hernandez Lozano

End-to-end analytical consulting covering data analysis, BI delivery, and data quality, operational dashboard design, ETL/ELT pipelines in SQL, and AI-assisted analytical features.

Structured upskilling: advanced training in Power BI and dbt, reinforcing applied expertise in modern data architecture and analytical governance best practices.

Context: International data team delivering product and business analytical platforms with MicroStrategy, Tableau, SQL Server, Snowflake, and AWS, including AI-enriched data services.

Leading analytical delivery in Agile and supporting an international team (4-6) as the interface between Product, Business, and Engineering to ensure data quality, adoption, and timely delivery.

Designing scalable analytical platforms integrating quality and validation frameworks, strengthening KPI standardization, governance, and trust in key business domains.

Architecting ETL/ELT pipelines and SQL data models, ensuring reliable, traceable, and scalable reporting.

Impact: Enhanced data trust, +30% reliability, -50% processing time, and accelerated reporting and decision-making cycles.

Context: Engineering analytics team developing data platforms for banking clients in structured and demanding environments with SQL Server, Teradata, PostgreSQL, and AWS.

Designing data warehouses and ETL flows with a strong focus on data reliability and validation.

Coordinating cross-functional teams on data profiling and quality control initiatives.

Supporting stakeholders in translating business needs into quality and value-oriented analytical solutions.

Continuously optimizing the deployment of analytical solutions to promote user adoption.

Impact: Improved reporting accuracy and reduced data preparation time.