Resume

Experience

  1. Data Engineer Ballast Lane Applications | Remote

    2021 - 2023

    Responsible for being an active contributor to the development and data teams. Here I worked closely with other engineers data and business analysts to ensure we deliver our commitments on time by removing blockers as quickly as possible. I was highly involved in every step of the data lifecycle stages, from their conceptual state to the deployment to production and maintenance of them.
    My main responsabilities were:
    - Build, test, and maintain database and ETL pipeline architectures.
    - Developing and maintaining databases, data systems.
    - Collaborate with management to understand how is data connected.
    - Leading and mentoring the team members to make sure we deliver high-quality products.
    - Ensure compliance with data governance and security policies.
    - Performing code reviews to ensure consistency and quality.
    - Develop algorithms to transform data into useful and actionable information.

  2. Data Analyst Switch Software Solutions | Montevideo, WFH

    2020 - 2021


    - Analyzing the data pipelines and performing data queries on data stored in diverse data warehouses (SQL Server, MySQL).
    - Validating rules for bringing data over, updates to the data model to reflect any changes, reconciliation analysis, updating mapping tables.
    - Create data visualization using Tableau, Qliksense, and open source libraries.
    - Exploratory Data Analysis (EDA), using pandas through Jupyter Notebook.
    - Accessing the data (getting the data into the application from multiple sources).
    - Cleaning the data (coding missing data, fixing or deleting miscoded data, transforming variables into more useful formats).
    - Preparing the results (creating publication-quality tables and graphs).

  3. BI Developer Sabre Uruguay | Zonamerica - Montevideo

    2019 - 2020


    - Translate the customer, business and market needs into product requirements that solve the customer business problem or optimize the business practice.
    - Coordinate with 3rd party companies to deliver on requirements.
    - Understand and identify opportunities to improve and manage data through BI tools like QlikView, QlikSense, Cognos, Alteryx, PowerBI.
    - Gather/define requirements and recommend best business practices to meet those requirements.
    - Data models and Data extraction process (ETL) design.
    - Business case development (i.e., research, data collection).

  4. BI Developer The Hackett Group | WTC, Montevideo

    2018 - 2019


    - Extract relevant data from internal and external departments within an organization by using OBIEE and Oracle SQL.
    - Prepare a visual presentation of data for ease of understanding.
    - Manage and deliver data to relevant departments within the organization.
    - Design, develop and maintain OBIEE dashboards.
    - Automation of repetitive processes and tasks and internal reports.

  5. Applications Support Analyst

    The Hackett Group | WTC, Montevideo 2015 - 2018


    - Execution application support activities to solve issues reported by customers.
    - Execution application support for application development activities and maintenance for Oracle EPM products.
    - Execution, research and application analysis or technical consultancy on Oracle EPM environments for customers upon request.
    - Elaboration of action plans and effort estimations analysis if needed.

  6. Statistical Analyst

    Central Bank of Venezuela | Caracas, Venezuela 2010 - 2014

    This was the first role where I worked related to data, and I used to work with senior statisticians who used SAS and R on a regular basis to solve requirements related to huge amounts of data coming from surveys collected by the operational team of the institute. In the end, this job provided me with a ton of skills that would later benefit my data career.
    My main responsabilities were:
    - Processing survey data and building models looking to help answer their managerial questions.
    - Programming in Visual Basic, SAS, SPSS, R, and Python.
    - Conducting statistical analyses, even touching on simple ML algorithms like linear regressions.
    - Designing data visualizations to convey lots of data in an easy-to-digest format.
    - Developing new databases and systems based in SAS to calculate price indexes.

Education

  1. UNESR

    2000 - 2006

    Bachelor in Finance

My skills

  • SQL
  • Python
  • AWS
  • Pandas
  • Spark
  • Tableau
  • Airflow
  • Airbyte
  • Jupyter Notebooks