Mario Lima Email & Phone Number | I have been developing data models and data integration processes for business analysis for 15 years. I have a graduate degree in Intelligent Decision Support Systems and also have experience with creating meaningful dashboards for industries including insurance, digital marketing, retail, finance, logistics and telecom. I am a fan of author Ralph Kimball's data warehouse development approach and have developed over 10 dimensional data models based on his tips, which are focused on business processes. Also, I am familiar with data pipelines' best practices to move the data quickly and with creating complex SQL scripts to combine and transform data from multiple sources.

Mario Lima

I have been developing data models and data integration processes for business analysis for 15 years...
São Gonçalo, Rio de Janeiro, Brazil

*50 free lookup(s) per month.

Mario Lima’s Email mario.lima@gmx.com

Mario Lima’s Phone Numbers

Get MARIO’s Phone Number (For Free)

Social Media

Mario Lima’s Location São Gonçalo, Rio de Janeiro, Brazil

Mario Lima’s Current Industry Mario Lima

Mario Lima’s Prior Industry Tim Brasil | Dbmax Inteligencia Estrategica | Marinha Do Brasil

Find accurate emails & phone numbers for over 700M professionals.

Data Visualization | Sql | Etl Developer

2018-04-01 00:00:00 - Present

Consultor Sênior

2017-08-01 00:00:00 - 2018-04-01 00:00:00

Analista De Business Intelligence

2007-04-01 00:00:00 - 2017-01-01 00:00:00

Marinheiro

2001-01-01 00:00:00 - 2007-03-01 00:00:00

No Skills Available

No Languages Available

Mario Lima is a I have been developing data models and data integration processes for business analysis for 15 years. I have a graduate degree in Intelligent Decision Support Systems and also have experience with creating meaningful dashboards for industries including insurance, digital marketing, retail, finance, logistics and telecom. I am a fan of author Ralph Kimball's data warehouse development approach and have developed over 10 dimensional data models based on his tips, which are focused on business processes. Also, I am familiar with data pipelines' best practices to move the data quickly and with creating complex SQL scripts to combine and transform data from multiple sources.