Felipe Allegretti

Senior Data Engineer at Kognia Sports Intelligence
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Contact Information
Location
Porto Alegre, Rio Grande do Sul, Brazil, BR
Languages
  • Português Native or bilingual proficiency
  • Inglês Full professional proficiency
  • Alemão Elementary proficiency
  • Espanhol Limited working proficiency

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Credentials

  • AWS Certified Cloud Practitioner
    Amazon Web Services (AWS)
    Jun, 2023
    - Sep, 2024
  • Astronomer Certification for Apache Airflow
    Astronomer
    Jun, 2023
    - Sep, 2024
  • IBM Data Engineering Specialization
    Coursera
    Jun, 2022
    - Sep, 2024
  • Tableau Data Scientist
    Tableau Software
    Apr, 2020
    - Sep, 2024
  • Tableau Analyst
    Tableau Software
    Mar, 2020
    - Sep, 2024
  • Microsoft Power BI for Data Science
    Data Science Academy

Experience

    • Spain
    • Software Development
    • 1 - 100 Employee
    • Senior Data Engineer
      • Oct 2023 - Present

      - Design, build and support modern and scalable data pipelines using data processing frameworks, technologies, and platforms; - Use best practices around CI/CD, automation, testing, and monitoring of analytics pipelines; - Collaborate with software engineers, researchers, data scientists, and stakeholders to understand what data is required and how best to make it available in the platform; - Improve the cloud architecture and design new architectures; - Identify and address… Show more - Design, build and support modern and scalable data pipelines using data processing frameworks, technologies, and platforms; - Use best practices around CI/CD, automation, testing, and monitoring of analytics pipelines; - Collaborate with software engineers, researchers, data scientists, and stakeholders to understand what data is required and how best to make it available in the platform; - Improve the cloud architecture and design new architectures; - Identify and address possibilities for improvement in areas such as speed of delivery and infrastructure cost reduction; - Investigate new technologies and approaches. Show less - Design, build and support modern and scalable data pipelines using data processing frameworks, technologies, and platforms; - Use best practices around CI/CD, automation, testing, and monitoring of analytics pipelines; - Collaborate with software engineers, researchers, data scientists, and stakeholders to understand what data is required and how best to make it available in the platform; - Improve the cloud architecture and design new architectures; - Identify and address… Show more - Design, build and support modern and scalable data pipelines using data processing frameworks, technologies, and platforms; - Use best practices around CI/CD, automation, testing, and monitoring of analytics pipelines; - Collaborate with software engineers, researchers, data scientists, and stakeholders to understand what data is required and how best to make it available in the platform; - Improve the cloud architecture and design new architectures; - Identify and address possibilities for improvement in areas such as speed of delivery and infrastructure cost reduction; - Investigate new technologies and approaches. Show less

    • Belgium
    • Information Technology & Services
    • 1 - 100 Employee
    • Senior Data Engineer
      • Nov 2022 - Oct 2023

      - Design, implement and optimize data lake architectures; - Build robust, scalable data systems and pipelines; - Acquire and ingest large volumes of data in near real-time fashion; - Combine raw information from external & internal sources (APIs, Databases); - Monitor and ensure data quality of the data lake components and apply data validation techniques; - Evaluate business needs and objectives in association with product owners and participate in the requirement analysis from… Show more - Design, implement and optimize data lake architectures; - Build robust, scalable data systems and pipelines; - Acquire and ingest large volumes of data in near real-time fashion; - Combine raw information from external & internal sources (APIs, Databases); - Monitor and ensure data quality of the data lake components and apply data validation techniques; - Evaluate business needs and objectives in association with product owners and participate in the requirement analysis from a technical perspective; - Contribute to the technical analysis and solution design of new features; - Participate in code reviews & write functional, unit, and integration tests; - Discover, interpret and present location/time patterns in geospatial data. Show less - Design, implement and optimize data lake architectures; - Build robust, scalable data systems and pipelines; - Acquire and ingest large volumes of data in near real-time fashion; - Combine raw information from external & internal sources (APIs, Databases); - Monitor and ensure data quality of the data lake components and apply data validation techniques; - Evaluate business needs and objectives in association with product owners and participate in the requirement analysis from… Show more - Design, implement and optimize data lake architectures; - Build robust, scalable data systems and pipelines; - Acquire and ingest large volumes of data in near real-time fashion; - Combine raw information from external & internal sources (APIs, Databases); - Monitor and ensure data quality of the data lake components and apply data validation techniques; - Evaluate business needs and objectives in association with product owners and participate in the requirement analysis from a technical perspective; - Contribute to the technical analysis and solution design of new features; - Participate in code reviews & write functional, unit, and integration tests; - Discover, interpret and present location/time patterns in geospatial data. Show less

    • Brazil
    • Software Development
    • 200 - 300 Employee
    • Data Engineer
      • Jun 2020 - Nov 2022

      - Create ETL processes by connecting multiple data sources; - Work on code development and refactoring of big data ETL pipelines, using Python and Scala with Apache Spark to increase performance; - Structure end-to-end data pipelines using multiple AWS resources; - Develop Apache Airflow DAGs in order to orchestrate data pipelines; - Establish efficient and automated processes for large-scale models; - Generate, publish and create routines for dashboard updates; - Integrate… Show more - Create ETL processes by connecting multiple data sources; - Work on code development and refactoring of big data ETL pipelines, using Python and Scala with Apache Spark to increase performance; - Structure end-to-end data pipelines using multiple AWS resources; - Develop Apache Airflow DAGs in order to orchestrate data pipelines; - Establish efficient and automated processes for large-scale models; - Generate, publish and create routines for dashboard updates; - Integrate public and private APIs; - Develop web crawlers to scrape data from multiple platforms to enrich databases and models. Show less - Create ETL processes by connecting multiple data sources; - Work on code development and refactoring of big data ETL pipelines, using Python and Scala with Apache Spark to increase performance; - Structure end-to-end data pipelines using multiple AWS resources; - Develop Apache Airflow DAGs in order to orchestrate data pipelines; - Establish efficient and automated processes for large-scale models; - Generate, publish and create routines for dashboard updates; - Integrate… Show more - Create ETL processes by connecting multiple data sources; - Work on code development and refactoring of big data ETL pipelines, using Python and Scala with Apache Spark to increase performance; - Structure end-to-end data pipelines using multiple AWS resources; - Develop Apache Airflow DAGs in order to orchestrate data pipelines; - Establish efficient and automated processes for large-scale models; - Generate, publish and create routines for dashboard updates; - Integrate public and private APIs; - Develop web crawlers to scrape data from multiple platforms to enrich databases and models. Show less

    • Analytics Engineer
      • Jul 2019 - Jun 2020

      - Prepare month-end project cost data and reports; - Develop new data collection, analysis and reporting tools; - Assist data updating regarding resource management; - Analyze and check quality of portfolio cost data; - Translate business requirements into dashboards; - Coordinate with project teams, finance, and senior management. - Prepare month-end project cost data and reports; - Develop new data collection, analysis and reporting tools; - Assist data updating regarding resource management; - Analyze and check quality of portfolio cost data; - Translate business requirements into dashboards; - Coordinate with project teams, finance, and senior management.

    • Brazil
    • Industrial Machinery Manufacturing
    • 700 & Above Employee
    • Production Planning Intern
      • Jan 2018 - Apr 2019

      - Support production planning analysts; - Assist in the daily updating of area indicators; - Participate in new production planning projects; - Participate in the KPIs of the factories and other activities in the area. - Support production planning analysts; - Assist in the daily updating of area indicators; - Participate in new production planning projects; - Participate in the KPIs of the factories and other activities in the area.

    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Product Configuration Intern
      • Jun 2016 - Sep 2017

      - Support the data management related to the configuration of products from the perspective of sales and manufacturing; - Support manufacturing departments with respect to engineering and product structure configurations; - Assistance in the analysis of failures in the BOM (Bill of Materials) structure, through the understanding of the structure in the engineering configurations of the product; - Analysis and support in the configurations defined for supply by the related teams in the… Show more - Support the data management related to the configuration of products from the perspective of sales and manufacturing; - Support manufacturing departments with respect to engineering and product structure configurations; - Assistance in the analysis of failures in the BOM (Bill of Materials) structure, through the understanding of the structure in the engineering configurations of the product; - Analysis and support in the configurations defined for supply by the related teams in the internal and external sales systems. Show less - Support the data management related to the configuration of products from the perspective of sales and manufacturing; - Support manufacturing departments with respect to engineering and product structure configurations; - Assistance in the analysis of failures in the BOM (Bill of Materials) structure, through the understanding of the structure in the engineering configurations of the product; - Analysis and support in the configurations defined for supply by the related teams in the… Show more - Support the data management related to the configuration of products from the perspective of sales and manufacturing; - Support manufacturing departments with respect to engineering and product structure configurations; - Assistance in the analysis of failures in the BOM (Bill of Materials) structure, through the understanding of the structure in the engineering configurations of the product; - Analysis and support in the configurations defined for supply by the related teams in the internal and external sales systems. Show less

Education

  • Universidade Federal do Rio Grande do Sul
    Bachelor of Engineering - BE, Industrial Engineering

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