Juan Berrizbeitia
Principal-Ractor Engineer@ AT&T
Dallas, Texas, United States
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Juan Berrizbeitia is an experienced Radio Access Network Engineer with 26.3 years of work experience in the telecommunications industry. He is skilled in LTE 5G NR, LTE, Universal Mobile Telecommunications System (UMTS), and Code Division Multiple Access Method (CDMA) wireless technologies. Juan also has expertise in Big Data Analytics, Data Analytics, and Machine learning algorithms and models. He has worked at AT&T as a Senior-ran Engineer and at Ericsson as a Radio Access Network Engineer. Juan has a strong background in Data Engineering and has worked on data infrastructure on the Cloud, big data with Spark, Airflow data pipeline, Postgress, and Data modeling.
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Emails and Phone Numbers

@yahoo.com
@att.com
+1 800288****
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About

Experienced Radio Access Network Engineer with a demonstrated history of working in the telecommunications industry. Skilled in LTE 5G NR, LTE, Universal Mobile Telecommunications System (UMTS), Code Division Multiple Access Method (CDMA) wireless technologies. Also skilled on Big Data Analytics, Data Analytics and Machine learning (ML) algorithm and models. Experience programing on Python, Visual Basic, Visual Basic for Applications (VBA), C++. Strong engineering professional with a Data Engineering focused in Data infrastructure on the Cloud, big data with Spark, Airflow data pipeline, Postgress, Data modeling.

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Work Experience

208 S. Akard Street, Dallas, TX, 75202, US

Telecommunications

172819
Phone
+1 8002882020
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Juan Berrizbeitia's Professional Milestones

  • Rf Engineer (1997-06-01~2001-02-01): Developed advanced firmware solutions, optimizing data transmission and enhancing performance for real-world applications.
  • Senior R & Director Engineer (2011-01-01~): Driving successful project completion through strategic leadership and strategic team collaboration.
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Education

Udacity
Udacity

Machine Learning Engineer,

Data Infrastructure On The Cloud,

Big Data With Spark,

Airflow Data Pipeline,

Postgress,

Data Modeli,

Machie Learning - Artificial Intelligence,

Data Science,

Airflow,

Data Modeling,

Machine Learning - Artificial Intelligence

2019-2019
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