z
zoeyle868

Zoey Le

@zoeyle868
4.7(1)

I build business dashboards in BI tools of your choice

Estados Unidos
Inglés, Vietnamita
Parte de la información aparece en idioma inglés.
Sobre mí
💬 Let's connect by texting me, and we will set up a call for you to go through your data pain points. 🎯 What I do: ✅ I start by mapping how your data actually flows: where it resides, how it moves, and where to make adjustments, before building out a dashboard. ✅ I clean up duplicates, gaps, and inconsistencies so the numbers underneath are actually trustworthy ✅ I consolidate and build a knowledge graph for your use case 👑 Goals: 👉 Surface critical insights 👉 Knowledge Graph 👉 AI model/ Automation readiness ... Lee más

Habilidades

z
zoeyle868
Zoey Le
desconectado • 

Revisa mis servicios

Limpieza de datos
I will clean up your data for ai model readiness
DeUSD 25 / proyectoMás información

Porfolio

Experiencia laboral

Sr. Business Intelligence Specialist

Agency • Tiempo completo

Feb 2023 - Present • 3 yrs 6 mos

I own the BI product roadmap end-to-end, acting as both technical lead and hands-on IC, setting the pipeline architecture, schema, data model, and visualization standards the whole team builds against. I designed and led a full migration of our BI architecture from on-prem to cloud infrastructure, protecting user experience, continuity, and security throughout the transition. I write and optimize SQL across SQL Server, PostgreSQL, and BigQuery to consolidate data into a single, clean semantic model, then translate that logic into Power Query and DAX. I regularly turn ambiguous stakeholder asks into concrete technical specs, building BI solutions that hold up as real evidence for business decisions rather than one-off reports. I use Python to clean and reshape data schemas that drive our dashboard ETL pipelines. Within my first three months, I launched three use cases end-to-end — standing up their full data pipelines while surfacing hidden technical and operational issues to leadership and closing the communication gap between technical teams and business stakeholders.

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