I work creating, managing and optimizing ETL and ELT pipelines using Airflow, PySpark, Spark, SQL, Python, Bash, Docker, Polars, Pandas and Databricks. I use the Bash terminal via WSL.I build automation models using Selenium and perform web scraping using Scrapy, Selenium, Crawlee and Beautiful Soup.I also design APIs using FastAPI. My codes are versioned in Git, remotely in GitLab and organized into packages and virtual environments using Poetry and uv.I use Streamlit… Show more I work creating, managing and optimizing ETL and ELT pipelines using Airflow, PySpark, Spark, SQL, Python, Bash, Docker, Polars, Pandas and Databricks. I use the Bash terminal via WSL.I build automation models using Selenium and perform web scraping using Scrapy, Selenium, Crawlee and Beautiful Soup.I also design APIs using FastAPI. My codes are versioned in Git, remotely in GitLab and organized into packages and virtual environments using Poetry and uv.I use Streamlit, Plotly, Seaborn and Matplotlib to build dashboard and report visualizations that generate insights for decision making, fed by the pipelines, web scraping and automations mentioned above.One of my success stories was the creation of a platform that automatically generates reports from Yahoo Search using tools such as OpenAI API, Scrapy, GitHub, Apache Airflow and Streamlit. The development took 4 days and increased the agility of producing documents with reliable sources by 60%, in a clear and concise manner.I am currently implementing Azure in the company, for which I wrote the documentation and architecture, in order to ensure that the data-driven culture spreads throughout the production chains.• Table formats and file formats and extensions that I am familiar with: csv, xlsx, xls, Parquet, JSON, txt, AVRO, Delta, ORC, YAML and Iceberg. Show less

I was able to provide services regarding data modeling, cleaning, visualization, and ETL and ELT.I worked with structured and semi-structured data using Python, SQL, Git, GitHub, Poetry, uv, PySpark, Apache Airflow, Streamlit, Seaborn, Plotly, Selenium, Scrapy, Beautiful Soup, WSL, Linux, among other tools.In one of my projects, I was able to deliver to my client an optimization in their chatbot data cleaning that was previously manual and became automatic and more efficient… Show more I was able to provide services regarding data modeling, cleaning, visualization, and ETL and ELT.I worked with structured and semi-structured data using Python, SQL, Git, GitHub, Poetry, uv, PySpark, Apache Airflow, Streamlit, Seaborn, Plotly, Selenium, Scrapy, Beautiful Soup, WSL, Linux, among other tools.In one of my projects, I was able to deliver to my client an optimization in their chatbot data cleaning that was previously manual and became automatic and more efficient, being 90% more efficient than if done manually, as it was done before. Show less

I helped in understanding the content taught in the Food Chemistry II discipline by taking a simple and objective approach.

It helps in understanding the content taught in the Inorganic Chemistry III discipline, dealing with complex subjects in a clear and objective manner.

I worked with colorimetric analyses, water loss through cooking, AFM measurements, among other analyses of meat products. I processed and manipulated the data using Excel.

I gained experience in selecting members, preparing documents, such as internal regulations and statutes, and maintaining a pleasant working environment for all members.

I gained experience in monitoring team members' activities as well as their efficiency and performance. I learned ways to motivate and engage the team to achieve goals and objectives.

I learned efficient ways of leading teams and also about preparing documents.