
Data Analytics Engineer
Med en dokumenteret erfaring med at støtte missionskritiske operationer på tværs af globale organisationer i Silicon Valley leverer Daniel robuste, højtydende datasystemer, der fremmer informeret beslutningstagning og driftseffektivitet. Hans arbejde lægger vægt på pålidelighed, skalerbarhed og hastighed, hvilket sikrer dataløsninger, der giver virksomheder mulighed for at gøre information til en strategisk fordel.


Clarient Inc., later acquired by DTCC, was a leading provider of financial market infrastructure solutions.
Developed BI solutions for risk, compliance, and financial reporting.
Built SSRS dashboards and SSAS cubes to consolidate global regulatory data.
Implemented ETL pipelines with SSIS, ensuring high data quality and regulatory compliance.
3M is a multinational conglomerate serving industries such as health, manufacturing, and consumer products.
Developed a Financial Data Warehouse (DWH) for accounting and planning departments.
Designed dashboards and KPIs in SSRS to improve financial visibility.
Automated ETL processes with SSIS to optimize data ingestion and transformation.

Universidad Autónoma de San Luis Potosí is one of Mexico’s oldest public universities, with a strong focus on engineering and research.
Developed web and desktop applications for academic and administrative systems.
Designed data models and integrated SQL Server databases with C# .NET applications.
Automated manual reporting processes, which boosted staff efficiency.
Ingeniørmæssig fremragendehed
Daniel samlede præstation i en 90-minutters teknisk vurdering i realtid er blandt de top 25% bedst kontrollerede Data Analytics Engineer hos Proxify.
Issued Dec 2024 - Expires Dec 2026
Credential ID S67980-241222-COF
Issued Dec 2024 - Expires Dec 2026
Credential ID S67980-241222-COF

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