Carlos Fuentes
Data Engineer at Maryland Auto Insurance- Claim this Profile
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Bio
Credentials
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How to Analyze Business Metrics with SQL Course
CodecademyOct, 2022- Oct, 2024 -
BI Dashboards with Tableau Course
CodecademySep, 2022- Oct, 2024 -
How to Clean Data with Python Course
CodecademySep, 2022- Oct, 2024 -
How to Transform Tables with SQL Course
CodecademySep, 2022- Oct, 2024 -
Data Analysis and Visualization with Python Path
Dataquest.ioJun, 2022- Oct, 2024 -
Data Visualization Fundamentals Course
Dataquest.ioJun, 2022- Oct, 2024 -
Pandas and NumPy Fundamentals Course
Dataquest.ioJun, 2022- Oct, 2024 -
Combining Tables in SQL Course
Dataquest.ioMay, 2022- Oct, 2024 -
Data Foundations Course
Dataquest.ioMay, 2022- Oct, 2024 -
Dictionaries, Frequency Tables, and Functions in Python Course
Dataquest.ioMay, 2022- Oct, 2024 -
For Loops and Conditional Statements in Python Course
Dataquest.ioMay, 2022- Oct, 2024 -
Python Basics for Data Analysis Path
Dataquest.ioMay, 2022- Oct, 2024 -
Python Functions and Learn Jupyter Notebook Course
Dataquest.ioMay, 2022- Oct, 2024 -
Variables, Data Types, and Lists in Python Course
Dataquest.ioMay, 2022- Oct, 2024 -
Filtering and Sorting Data in SQL Course
Dataquest.ioApr, 2022- Oct, 2024 -
Google Data Analytics Certificate
CourseraApr, 2022- Oct, 2024 -
Introduction to SQL and Databases Course
Dataquest.ioApr, 2022- Oct, 2024 -
Summarizing Data in SQL Course
Dataquest.ioApr, 2022- Oct, 2024
Experience
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Maryland Auto Insurance
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United States
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Insurance
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100 - 200 Employee
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Data Engineer
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Jan 2023 - Present
- Designed and implemented dynamic data pipelines in Apache Airflow, facilitating automated weekly and monthly reporting that simplified workflows and enhanced the precision of business insights. - Integrated automated testing scripts in Python, which meticulously validated data quality and accuracy during ETL processes, thereby minimizing errors and guaranteeing reliable data analysis for critical business functions. - Collaborated with the actuary to leverage machine learning, streamlining the automation of rate adjustments with batch pipelines and enhancing the precision of insurance rate computations. - Wrote complex SQL scripts to address ad-hoc requests, meeting immediate data needs and ensuring the timely delivery of business insights and regulatory requests. - Constructed and optimized tables in Oracle SQL Developer to classify and display crucial data from the Oracle database for various departments, increasing data efficiency and accessibility across the organization. - Cataloged intricate data models, data dictionaries, and technical specifications for data pipelines and databases, ensuring seamless information accessibility across multi-disciplinary teams. - Developed interactive data dashboards using Power BI, which streamlined the communication of vital insights to stakeholders, aiding in informed decision-making and enhancing operational efficiency. - Fostered collaborative relationships with team members and stakeholders, proactively identifying and implementing potential enhancements to reporting processes and precision in data analytics. - Revitalized letter templates by crafting SQL statements to link fields with pertinent data sources, facilitating the accurate and timely dispatch of personalized letters to uninsured motorists. Show less
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Taylor Properties
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United States
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Real Estate
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Real Estate Agent
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Mar 2020 - Jun 2022
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Education
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University of Maryland Global Campus
Bachelor's degree, Data Science -
Anne Arundel Community College
Associate of Arts - AA, Computer Science