Matteo Hernandez

Jr. Data Warehouse Developer at University of Iowa Center for Advancement
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Contact Information
us****@****om
(386) 825-5501
Location
Iowa City, Iowa, United States, US

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Credentials

  • Hands On Essentials - Data Warehouse
    Snowflake
    May, 2023
    - Nov, 2024
  • Microsoft Certified: Azure Data Fundamentals
    Microsoft
    May, 2023
    - Nov, 2024
  • Learning Amazon Web Services (AWS) for Developers
    LinkedIn
    Mar, 2022
    - Nov, 2024
  • Learning Jira Software
    LinkedIn
    Feb, 2022
    - Nov, 2024
  • What Is Scrum?
    LinkedIn
    Nov, 2021
    - Nov, 2024
  • GitHub for Data Scientists
    LinkedIn
    Sep, 2021
    - Nov, 2024
  • Computer Components and Peripherals for IT Technicians
    LinkedIn
    May, 2021
    - Nov, 2024
  • IT Help Desk for Beginners
    LinkedIn
    May, 2021
    - Nov, 2024
  • Visio 2019 Essential Training
    LinkedIn
    Apr, 2021
    - Nov, 2024
  • Microsoft Teams Essential Training
    LinkedIn
    Jan, 2021
    - Nov, 2024
  • Leading Productive Meetings
    LinkedIn
    Sep, 2020
    - Nov, 2024
  • Learning ITIL®
    LinkedIn
    Sep, 2020
    - Nov, 2024
  • Managing Your Time
    LinkedIn
    Sep, 2020
    - Nov, 2024
  • OneNote Essential Training (Office 365/Microsoft 365)
    LinkedIn
    Sep, 2020
    - Nov, 2024
  • Outlook Essential Training (Office 365/Microsoft 365)
    LinkedIn
    Sep, 2020
    - Nov, 2024
  • Skype for Business Essential Training
    LinkedIn
    Sep, 2020
    - Nov, 2024

Experience

    • United States
    • Fundraising
    • 200 - 300 Employee
    • Jr. Data Warehouse Developer
      • Jun 2023 - Present

      • Led end-to-end development, implementation, and upkeep of enterprise data warehouse systems • Collaborated with cross-functional teams, including analysts, project managers, and stakeholders, for seamless project delivery • Orchestrated the successful migration of on-premises data to a cloud-based solution, optimizing scalability and performance • Proficiently oversaw Extract, Transform, Load (ETL) processes for efficient and accurate data integration • Resolved data warehouse issues by collaborating with Help Desk, vendors, and IT staff • Contributed to establishing data warehouse standards and guidelines, ensuring optimal system performance • Designed and estimated technical solutions aligned with business and technical needs Show less

    • United States
    • Software Development
    • 700 & Above Employee
    • Data Engineer - SaaS Operations
      • 2022 - Jun 2023

      • Developed and implemented Extract, Transform, Load (ETL) processes using data automation tools. • Designed, coded, tested, and supported team-created data engineering solutions for optimal performance. • Collaborated with teammates in systems administration tasks, effectively managing data infrastructure. • Effectively practiced test-driven development, implementing tests for high-quality, reliable solutions. • Documented procedures and requirements for data engineering processes, ensuring clear and comprehensive guidelines for development, deployment, and maintenance activities. Show less

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Computer Support Specialist
      • 2020 - 2022

      • Utilized SQL queries to extract data from databases and performed descriptive analytics on inventory items, providing valuable insights for decision-making and optimization. • Conducted data cleansing activities across multiple databases, ensuring the removal of duplicate or inaccurate data. • Investigated and troubleshooted communication issues to resolve existing hardware problems, ensuring seamless data flow and minimizing disruptions in data processing and transmission. • Utilized SQL queries to extract data from databases and performed descriptive analytics on inventory items, providing valuable insights for decision-making and optimization. • Conducted data cleansing activities across multiple databases, ensuring the removal of duplicate or inaccurate data. • Investigated and troubleshooted communication issues to resolve existing hardware problems, ensuring seamless data flow and minimizing disruptions in data processing and transmission.

Education

  • The University of Iowa Tippie College of Business
    Bachelor of Business Administration - BBA, Business Analytics and Information Systems

Community

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