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Working from home
26 followers · 29 following
  • Federal University of Minas Gerais
  • Belo Horizonte, Brazil
  • 14:22 (UTC -12:00)
  • LinkedIn in/guilhermeepassos

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex4Achievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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gpass0s/README.md

Hi there! 👋

Welcome to my GitHub profile! 🎉

Feel free to call me Passos!

  • 🌍 Based in Brazil, I'm a Data Engineer and Python developer with over five years of experience in the tech industry.
  • 💼 I’m an AWS Certified Data Analytics Specialist and Solutions Architect, driven by a passion for cloud computing and big data technologies.
  • 🎓 I hold a BSc in Electrical and Computer Engineering from UFMG.
  • 🧐 I love helping companies turn data into actionable insights that drive real business value.

Skills

  • Programming: Python, PySpark, SQL
  • Cloud & Big Data: AWS (EMR, Lambdas, Glue, Athena, S3, Kinesis, SQS, SNS, MSK), GCP (BigQuery, Cloud Functions, Cloud Storage)
  • Infrastructure: Terraform, Snowflake, dbt, Airflow
  • Data Processing: Apache Spark (PySpark)

Pinned Loading

  1. stream-processing-on-aws stream-processing-on-aws Public

    A data pipeline that uses Kinesis Data Analytics for joining and enriching three sets of streaming data in real-time by using AWS services

    HCL 4

  2. deploying-dbt-on-ecs-fargate deploying-dbt-on-ecs-fargate Public

    A demo data pipeline designed to exemplify the deployment process of dbt on ECS Fargate through the integration of GitHub Action

    HCL 6 3

  3. data-engineering-challenge data-engineering-challenge Public

    A data engineering challenge to evaluate my proficiency in Data Engineering, and my knowledge in Software development as well.

    HCL

  4. college-assignments-NeuralNetworks-BalanceScale college-assignments-NeuralNetworks-BalanceScale Public

    In this assignment was performed a supervised learning using a MLP (MultiLayer Perceptron) with three different learning functions.

    R 4

  5. RedeNetImoveis-Scraping-WebCrawler RedeNetImoveis-Scraping-WebCrawler Public

    Scraping data from Rede Net Imoveis portal

    Python 3 3

  6. data-challenge data-challenge Public

    Forked from hugozanini/data-challenge

    Solutions of a data engineering challenge

    Python