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. - Orchestrated complex ETL workflows utilizing Python scripts and Oracle SQL Developer, enabling precise data extraction from a diverse data warehouse, followed by comprehensive data cleaning and loading into targeted databases, improving data integrity and reliability. - 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. - Systematized and cataloged intricate data models, data dictionaries, and technical specifications for data pipelines and databases, thus ensuring seamless information accessibility and comprehension across multidisciplinary teams, fostering collaborative efforts and project synergy. - 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. - Fostered collaborative relationships with team members and stakeholders, proactively identifying and implementing potential enhancements to the reporting processes which boosted efficiency and precision in data management. - Revitalized existing 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. - Constructed and optimized tables in Oracle SQL Developer to classify and display crucial data from the Oracle database for various departments, a move that escalated data efficiency and accessibility across the organization. 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