nathadriele,Nathalia Adriele,github

Hello, I'm Nathalia Adriele!

I am a Data Engineer with a Master's degree in Information Science from UNESP (Universidade Estadual Paulista) and I am currently studying an MBA in Data Science and Analytics at USP (Universidade de São Paulo). I am passionate about transforming data into meaningful insights and work with technologies such as Python, Deep Learning, NLP, LLMs and GenAI.

Technical Skills

I have experience in programming with Python, SQL, and Amazon Web Services (AWS). My expertise includes ETL, data modeling, data storage, ingestion, building data pipelines, data processing, orchestration, data visualization, monitoring, and data quality.

As a researcher, I am involved in studies and projects related to deep learning, natural language processing (NLP), language models (LLMs), and generating artificial intelligence (GenAI), as well as data science projects.

Additionally, I have experience in Quality Assurance (QA) using JavaScript, Ruby, RSpec, Postman, Cypress, Robot, and other frameworks. I also promote a culture of good documentation practices for conformity, reproducibility, and knowledge dissemination. I enjoy contributing to projects and constantly learning.

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Nathalia Adriele's Projects

airflow-tableau-ec2-maintenance

This project automates weekly maintenance for a Tableau server on an EC2 instance using Apache Airflow, ensuring optimal performance and reliability. The DAG performs disk cleanup and sends notifications with the results via AWS SNS.

aws-dms-task-restart-and-status-checker

The AWS DMS Task Restart and Status Checker is a Python script designed to restart various AWS Database Migration Service (DMS) tasks and check their status. This script leverages AWS SDK (Boto3) and Mage.ai for DMS task integration and management, ensuring efficient and reliable task handling.

datamart-tables-data-type-validation

This project is a Data Engineering solution implemented to validate the data types of columns in PostgreSQL tables in a DataMart. It aims to validate whether the data stored in tables conforms to the expected data types, improving data integrity and reliability.

dms-cdc-task-status-validator

Automated script developed in Mage.ai to monitor and validate the status of AWS DMS CDC tasks, ensuring data integrity and synchronization. Sends notifications for any detected validation issues.

dms-missing-or-duplicate-data-validation-script

Contains a Python script designed to validate data replication tasks in AWS Database Migration Service (DMS). The script checks for potential issues such as missing or duplicate data in the tables being replicated.

persimplex

Foi realizado o desenvolvimento de uma ferramenta online para a resolução de problemas de programação linear e possui a capacidade de solucionar pelo método Simplex. 2017

s3-folder-cleanup

This script automates cleaning up a specific folder in an S3 bucket, deleting all objects within it. It uses secure AWS credentials and is built on the Mage.ai platform. Additionally, the roadmap includes approach handling and logging for greater robustness and monitoring.

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