Paulo Octavio Araujo de Paula

Paulo Octavio Araujo de Paula

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Data Engineer
São Paulo, Brazil

Contact Paulo regarding: 
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Full-time jobs
Starting at USD6.5k/month

Timeline


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Résumé


Jobs verified_user 0% verified
  • KITRUM
    Data Engineer public Remote experience
    KITRUM
    Aug 2024 - Current (2 years 3 months)
    • Implemented and maintained data pipelines to calculate key business metrics for analytics platforms, utilizing tools like PySpark, Airflow, Databricks and SQL. Incorporated data quality checks, monitoring, and retention policies to ensure reliable and efficient metric updates​.
    • Automated metadata configuration by implementing a schema discovery process and integrated it into CI/CD pipelines, using Scala, SQL, Shell scripting, Databricks, and GitHub Actions. Improving adaptability and scalability across environments.
    • Optimized data lifecycle management by implementing a delta-based partition deletion mechanism for databases with Scala, SQL, and Delta Lake. Optimizing export workflows and reducing storage overhead​.
    • Bui
  • Artefact
    Data Engineer
    Artefact
    Sep 2022 - Aug 2024 (2 years)
    • Automated formerly manual business processes dependent on Excel by implementing a Pyspark data pipeline in Databricks and Data Factory, leading to a monumental reduction in process time from 1 work day to 5 minutes.
    • Optimized ETLs for Profit & Loss reporting by refactoring the data model, employing PySpark optimization techniques, and tuning Databricks cluster configurations, reducing execution time from 5 hours to 2 hours.
    • Solved dozens of on-demand support tickets regarding the client's data infrastructure, including fixing broken ingestion pipelines, refactoring ETL code for efficiency, improving data models and addressing data inconsistencies in tables.
    • Migrated and optimized 40+ legacy on-premise data pipelines t
  • Visagio
    Data Analytics Intern
    Visagio
    Oct 2021 - Sep 2022 (1 year)
    • Created machine learning models (scikit‑learn) to redefine the target audience segmentation strategy in marketing campaigns.
    • Developed financial dashboards in Power BI for C‑level stakeholders to enable quick and clear monitoring of financial results as well as identification of potential business issues.
    • Deployed and analyzed A/B tests to reduce loan default rates using pandas, PySpark and SQL.
    • Collaborated with the development and documentation of a Demand Forecast solution to avoid over/understocking and improve supplychain efficiency.
  • AMARO
    Data Engineer Intern
    AMARO
    Jul 2020 - Mar 2021 (9 months)
    • Built a streaming ingestion pipeline to make event data (cart, wishlist, etc) of over 500 thousand customers available to business users using Amazon MQ, DynamoDB Stream, and AWS CloudFormation to provision infrastructure resources.
    • Collected more than 100 GB of data (jpeg, pdf, and tabular data) via web scraping (Selenium) and stored it on the cloud (S3) for use in rebuilding the company’s PLM system.
    • Designed and implemented Python and SQL ETLs pipeline utilizing AWS Lambda and Step Functions to ingest data from external APIs into Snowflake (Data Lake).
    • Worked together with stakeholders from Product Management, Marketing and Engineering to identify and to collect business and technical requirements.
  • AMARO
    Data Science Intern
    AMARO
    Jan 2020 - Apr 2020 (4 months)
    • Developed from scratch an NLP‑based solution for classifying and conducting sentiment analysis on customers reviews, which saved approx. 1000 hours of manual labor monthly.
    • Implemented a data pipeline to gather +5000 customer reviews, preprocess the data for cleanliness, and input it into a machine learning model developed using AWS SageMaker.
    • Trained and organized an enterprise‑wide data labeling workforce to label thousands of reviews used to train Machine Learning models.
  • B
    Software Engineer Intern
    BRAVIUM LATAM
    May 2019 - Aug 2019 (4 months)
    • Optimized the company's legacy CRM system, streamlining daily tasks and significantly reducing operator workload
    • Designed complex Microsoft SQL Server queries to efficiently perform CRUD operations
    • Collaborated with business users, conducting in-depth interviews to identify and understand product requirements and pain points
Education verified_user 0% verified
  • RWTH Aachen University
    Exchange Program, Data Science
    RWTH Aachen University
    Apr 2021 - Sep 2021 (6 months)
  • Universidade de São Paulo
    Bachelor's Degree, Computer Engineering (Co-operative)
    Universidade de São Paulo
    Jan 2017 - Dec 2022 (6 years)