Alexis Medina

Alexis Medina  Verified by 5 people. Click for details.

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Cloud Data Engineer | Data Scientist | ETL Developer
Argentina

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Timeline


Job

Résumé


Jobs 17% verified
  • R
    Data Engineer
    Remote experience
    Rocbird
    Mar 2022 - Oct 2023 (1 year 8 months)
    in my multifaceted role spanning positions such as Data Engineer, Data Architect, and Data Scientist at this data science consultancy, I was a cornerstone in the development and realization of high-stake projects aimed at enhancing the capabilities of companies through data-driven solutions. My standout contributions included: • Solution Architecture Design and Implementation: Leading the design and creation of comprehensive data infrastructures, which encompass data lakes, APIs, and pipelines for both structured and unstructured data, leveraging AI models. • Chatbot Development: Spearheading the creation of innovative chatbots for database queries using natural language processing, significantly improving accessibility and user experience
  • n
    Data Engineer
    nippy
    Feb 2022 - Jul 2022 (6 months)
    in my role as a Cloud Data Engineer at this early-stage startup, I played a key role in building the data department, establishing a robust and scalable data infrastructure. My key contributions included: • Creating a centralized and scalable ETL organization to facilitate efficient data integration and transformation, providing a strong foundation for future growth. • Introducing CI/CD systems to optimize development timelines, fostering a more agile and efficient workflow. • Implementing cross-cloud automated backup solutions, storing data securely in a data lake and guaranteeing its integrity and availability at all times. • Designing event-based data flows for faster response and smoother data integration, enhancing the company’s data
  • B
    Data Quality Engineer
    Bancor
    May 2021 - Mar 2022 (11 months)
    In my role as a Data Quality Engineer at Bancor, I successfully led the development and deployment of a highly efficient autonomous data quality detection system. My key contributions included: • Developing an autonomous system in Python that allowed for simultaneous evaluation of multiple data sources, ensuring optimal performance and scalability. Implementing advanced algorithms for detecting missing or null data, significantly enhancing data integrity and reducing errors in analytical reports. • Designing and configuring robust statistical controls that enabled early detection of significant data deviations, facilitating proactive decision-making. • Creating a comprehensive alert system that provided real-time notifications to relevant
  • Contáctica.
    Data Intelligence
    Remote experience
    Contáctica.
    Jul 2020 - Apr 2021 (10 months)
    During my tenure as a Data Intelligence Specialist at the digital marketing agency, I took charge of ensuring and enhancing the data quality pertaining to advertising campaigns. My key contributions and responsibilities were: • Shouldering the responsibility of overseeing the data quality associated with advertising campaigns, continually supervising and enhancing data accuracy and reliability. • Designing and implementing RPA (Robotic Process Automation) type automations to streamline processes, leading to more efficient operations and a significant reduction in time spent on repetitive tasks. • Providing support and training to the analytics and metrics team on new technologies, facilitating a deeper understanding and successful adoption
  • Torre
    Data Analyst internship
    Verified experience
    Remote experience
    Torre
    Jan 2020 - Jun 2020 (6 months)
    In my role as a Data Analyst at this startup focused on remote job placements, I spearheaded the creation of a real-time dashboard tool for the talent acquisition team. This tool not only revolutionized our acquisition strategy but did so at zero maintenance cost. My main contributions were: • Building a dashboard tool from the ground up that delivered real-time information, integrating a variety of technologies and programming languages, including Python and SQL. • Developing an ETL process that encompassed data ingestion from multiple sources such as SQL Server, HubSpot and Notion APIs, and Google Sheets, utilizing Deepnote as the processing platform. • Achieving a Significant Boost in Team Efficiency since the implementation of this too
  • Universidad Nacional del Chaco Austral
    Professional internship student
    Universidad Nacional del Chaco Austral
    Jan 2018 - Jan 2020 (2 years 1 month)
    - I worked in the university laboratories in the production area during my training as a Chemical Engineer. Skills used: Knowledge of chemical reactions Linear regressions to forecast demand Excel for inventory control