Ly Nguyen

Architected and implemented robust data models using dbt, integrating diverse ERP data sources and optimizing data exposure to Snowflake for enhanced analytics.

Managed and optimized critical data pipelines, ensuring timely data availability and integrity through scheduled refreshes and orchestration tools.

Streamlined data engineering workflows by implementing CI/CD practices with Azure DevOps, significantly accelerating code release cycles and improving deployment reliability.

Developed and deployed critical Power BI reports from finalized data layers, translating complex business stakeholder requirements into actionable visual insights for strategic decision-making.

Facilitated agile development as Scrum Master for the data engineering team, leveraging Azure DevOps to enhance collaboration, sprint efficiency, and project delivery.

Extracted and transformed complex business data from SAP systems, ensuring data accuracy and readiness for analytical reporting across departments.

Designed and developed interactive dashboards and reports in QlikSense, providing key business insights to support operational decision-making.

Performed in-depth analysis of music consumption data in BigQuery using SQL and Python, uncovering key trends and patterns to inform content strategy.

Created compelling data visualizations and dashboards using Google Data Studio, effectively communicating complex insights to stakeholders.

Resolved critical client issues by conducting thorough database investigations using SQL, reducing resolution times and improving client satisfaction.

Configured and optimized analytics visualizations in client environments using QlikSense, enhancing data accessibility and user experience.

Provided expert consultation to clients on optimizing Sievo tool utilization, aligning software capabilities with their strategic business objectives.

Managed and maintained client environment configurations, ensuring optimal performance and stability of data analytics platforms.

Classified and standardized large volumes of client spend data using Sievo software, improving data accuracy and analytical readiness for reporting.

Executed complex ad-hoc SQL queries for data extraction, UI configuration, and parameter adjustments, supporting critical database operations.

Streamlined vendor management by consolidating suppliers using the Sievo tool, enhancing data integrity and reporting efficiency.

Conducted client workshops to validate data classification outcomes, ensuring alignment with business requirements and facilitating data adoption.