Guilherme P.

BI and Data Engineer

Guilherme is a Power BI Developer with nine years of experience in data analysis, ETL processes, reporting, and automation. He specializes in customer behavior, event tracking, and product analytics, leveraging his expertise in Power BI, BigQuery, and Tableau.

Currently a Data Engineer at DoorDash, Guilherme manages data pipelines and supports business teams with critical data analysis. He is known for his ability to integrate complex data systems and generate actionable insights. His industry experience spans fintech, marketing, and food delivery.

Notable projects include creating machine learning models for financial data pattern recognition and conducting A/B testing with Google Optimize.

Hauptkompetenz
  • BigQuery
    BigQuery 6 Jahre
  • Data Analytics 9 Jahre
  • Microsoft Power BI
    Microsoft Power BI 6 Jahre
Andere Fähigkeiten
  • Databricks
    Databricks 2 Jahre
  • AWS
    AWS 2 Jahre
  • API 2 Jahre
Guilherme
Guilherme P.

Brazil

Erste Schritte

Ausgewählte Erfahrung

Beschäftigung

  • Senior Data Analyst

    Vana - 3 monate

    • Senior Data Analyst helping a growing startup with data analysis, ETL, reporting, and automation, especially regarding customer behavior, event tracking, and product analytics.

    • All kinds of ad hoc analysis and data extractions for C-levels and managers.

    • Data pipelines, SQL reports, and Dataviz with Mode Analytics.

    • Heavy user of GA 4, its BigQuery Schema, and Google Tag Manager for deploying events and scripts.

    • A/B testing for product hypothesis.

    Technologien:

    • Technologien:
    • Python Python
    • SQL SQL
  • Data Consultant

    InvestPlay - 1 jahr 9 monate

    • Analytics Engineer responsible for organizing the company's data environment, from the process of data landing, ETL/ELT, data transformation, creation of curated tables and delivery of value studies.

    • Data Engineering with Dataform (DBT alternative for Google) and Python scripts.

    • Data Governance of the BigQuery Data Warehouse.

    • Creating ML models to search for patterns in users' financial data.

    • Dataviz with Looker Studio and Matplotlib.

    Technologien:

    • Technologien:
    • BigQuery BigQuery
    • Python Python
    • SQL SQL
  • Analytics Engineer (Business & Data Analyst)

    iFood - 1 jahr

    • Responsible for creating data solutions for the Promotions squad, from creating data engineering flows with SQL and Python, automating tasks with real-time data via REST API and providing insights through dense data analysis with Databricks and Tableau.

    • Data ingestion with PySpark.

    • Automatic alerts via Slack using Python and AWS Lambda.

    • Data pipelines and analysis with Databricks.

    • Dataviz and interactive dashboards with Tableau.

    Technologien:

    • Technologien:
    • Data Analytics
    • Databricks Databricks
    • Python Python
    • SQL SQL
    • Tableau Tableau
    • AWS AWS
    • Data Science
  • Senior Strategy and Data Analyst

    Hotmart - 9 monate

    • Senior strategy and data analyst responsible for providing insights and deep analysis on attribution, growth, tracking, and product data.
    • Conducted A/B testing for growth hypotheses using Google Optimize.
    • Developed ETL workflows using Python, SQL, and Google BigQuery.
    • Created data visualizations and interactive dashboards with Power BI and Google Data Studio.
    • Deployed tags and scripts with Google Tag Manager.
    • Extensive user of Google Analytics 360 and its BigQuery Schema.

    Technologien:

    • Technologien:
    • BigQuery BigQuery
    • Data Analytics
    • Microsoft Power BI Microsoft Power BI
    • Python Python
    • SQL SQL
    • Data Science

Ausbildung

  • BSc.Business Administration

    FGV - Fundação Getulio Vargas · 2013 - 2017

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