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alinerguio/README.md
Header Image

๐Ÿš€ What I Do

Build scalable, cost-efficient data platforms and provide fractional data engineering to improve pipelines, governance, and analytics.

๐Ÿ› ๏ธ Tech Stack

Data Engineering
Python Airflow Spark Kafka

Cloud & Warehousing
AWS Snowflake GCP

Analytics & MLOps
dbt Docker Kubernetes Terraform

๐ŸŒ Website

alinedataengineer.com โ€” explore my portfolio and work

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  1. airflow-with-spark airflow-with-spark Public

    Docker-based data engineering stack with Apache Airflow, Spark cluster, and Jupyter notebook integration for scalable workflow orchestration and interactive PySpark development

    Jupyter Notebook

  2. mlops mlops Public

    Learning and applying MLOps concepts

    Jupyter Notebook

  3. vosk-transcript-tool vosk-transcript-tool Public

    The goal is to transcript audios already processed using the Vosk API to transcript audios.

    Python 1

  4. hackathon-JPAAgro hackathon-JPAAgro Public

    A LSTM algorithm (with 350 neurons) developed for a hackaton to predict values for 30 days of a determined product.

    Jupyter Notebook

  5. knn knn Public

    Algorithm K closest neighbors, with Euclidean distance, developed for the discipline of Artificial Intelligence, using DataSet Iris and DataSet SpamBase.

    Jupyter Notebook

  6. processing-audio-data processing-audio-data Public

    The goal is to organize audio files (Brazilian Portuguese) so they will be ready to be used as instances - in machine learning tools to transcript audios.

    Python