https://github.com/ivanildobarauna/ivanildobarauna
Special Repository to Make README
https://github.com/ivanildobarauna/ivanildobarauna
ai airflow big-data bigquery data-engineering gcp python
Last synced: 5 months ago
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Special Repository to Make README
- Host: GitHub
- URL: https://github.com/ivanildobarauna/ivanildobarauna
- Owner: IvanildoBarauna
- Created: 2024-05-19T21:16:54.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2025-06-04T21:18:59.000Z (about 1 year ago)
- Last Synced: 2025-06-06T20:58:39.635Z (about 1 year ago)
- Topics: ai, airflow, big-data, bigquery, data-engineering, gcp, python
- Homepage: https://github.com/IvanildoBarauna
- Size: 78.1 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Funding: .github/funding.yml
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# My current technology stack, subject to changes or updates without prior notice.
## 👨💻 About Me
I am a Data Analytics professional with extensive experience in producing and consuming data, specializing in the end-to-end journey of data as a product to generate actionable business insights. Throughout my career, I have worked as a BI Analyst, Data Analyst, and Data & Analytics Engineer, focusing on Data Visualization, ETL, Data Modeling, and leveraging technologies such as Google Cloud Platform, Google BigQuery, Apache Beam, AirFlow, SQL, Power BI, and Looker Studio.
Currently, I work as a software and data engineer, developing data solutions. In my free time, I contribute to the Open Source community by creating libraries for Python developers, building end-to-end data applications, and advancing observability practices with OpenTelemetry, distributing these solutions through GitHub Packages and Google Cloud Platform.
## 🛠️ Technical Skills
### Programming Languages
- Python (FastAPI, Flask)
- SQL with technologies: BigQuery, MySQL, MSSQL, Postgress, PL/SQL)
- Golang
### Cloud & DevOps
- Google Cloud Platform
- Docker
- GitHub Actions
- CI/CD
### Data Engineering
- Apache Airflow
- Apache Spark
- Apache Beam
- ETL/ELT
- Data Modeling
- Data Warehousing
- Data Lakehouse
### Data Analytics & Visualization
- Power BI
- Looker Studio
- Data Analysis
## 📊 GitHub Stats
## 📫 Contact
- [LinkedIn](https://www.linkedin.com/in/ivanildobarauna/)
- [Website](https://ivanildobarauna.dev/)
## 🌟 Featured Projects
- [api-to-dataframe](https://github.com/ivanildobarauna-dev/api-to-dataframe) - Python library that simplifies obtaining data from API endpoints by converting them directly into Pandas DataFrames. This library offers robust features, including retry strategies for failed requests.
- [currency-quote](https://github.com/ivanildobarauna-dev/currency-quote) - Complete solution for extracting currency pair quotes data with comprehensive testing, parameter validation, flexible configuration management, Hexagonal Architecture, CI/CD pipelines, code quality tools, and detailed documentation.
- [data-pipeline-async](https://github.com/ivanildobarauna-dev/data-pipeline-async-ingest) - Pipeline for processing and consuming streaming data from Pub/Sub, integrating with Dataflow for real-time data processing
- [data-pipeline-sync](https://github.com/ivanildobarauna-dev/data-pipeline-sync-ingest) - ETL Process for Currency Quotes Data" project is a complete solution dedicated to extracting, transforming and loading (ETL) currency quote data. This project uses several advanced techniques and architectures to ensure the efficiency and robustness of the ETL process.
- [Medium Article](https://medium.com/@IvanildoBarauna/ter-um-site-pessoal-%C3%A9-o-melhor-projeto-de-engenharia-que-voc%C3%AA-pode-fazer-por-voc%C3%AA-mesmo-ac21ddce01d7) - Having a personal website is the best engineering project you can do for yourself.
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⭐️ From [IvanildoBarauna](https://github.com/IvanildoBarauna)