This is Eric's portfolio

Hi there! Thanks for checking out my work!
You can learn more about me and take a look at some of my past projects below.

IBM Data Engineering Capstone Project

• Designed and implemented MySQL and MongoDB data platforms.
• Automated MySQL-to-PostgreSQL data transfers.
• Implemented a data warehouse using a star schema and performed various queries.
• Loaded data into IBM Cognos Analytics and created dashboards.
• Implemented an Airflow pipeline for web server log analysis.
• Applied PySpark for search term analysis and integrated a sales forecasting model.

YouTube Channel Sentiment Analysis Tool

• End-to-end data processing solution that encompasses data retrieval, analysis, containerization for scalability, and dashboard development.
• Designed and implemented a data pipeline to fetch comments from the YouTube API, process and analyze their sentiment using TextBlob.
• This project utilized Python, the YouTube API, Streamlit, Flask and Docker.

Influenza Syndrome Data ETL

• Created a script that utilizes Python to consume an API for notifications of influenza-like illness in the state of Paraná, Brazil and to insert the data into a local PostgreSQL database.
• The ETL pipeline retrieves the data in JSON format, formats it and loads it into a local PostgreSQL database.

Flask CRUD API + Docker

• Developed a Flask-based API for patient data management, supporting CRUD operations and interacting with a local PostgreSQL database.
• Employed Docker containerization to ensure consistent and scalable deployment of the Flask application.

About me

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My name is Eric Schmidt, I am a Data Engineer based in Brazil. I have years of expertise in building scalable pipelines, OLAP data modeling, and working with event-streaming data architectures. I currently work at Wiley, where I design and maintain modern data solutions using tools like AWS Glue, Python, Snowflake, and Airflow. Below are some of the technologies I have worked with.
Programming & Scripting: Python, SQL, Bash.
Databases: Snowflake, Oracle, PostgreSQL, MySQL, MongoDB, and SQLite.
Tools: AWS (Glue, Lambda, S3), Airflow, Docker, Kubernetes, Linux, pytest, Git, and WSL2

Experience in a wide range of companies

Aside from more recent data engineering projects, I have worked as a team leader at Fluency Academy, where I played a key role supervising projects and managing teams for global operations.
I have also contributed to back-end data-related projects at Bradesco, and at Softpar (later acquired by Sinqia).

Solid engineering background

My bachelor's degree in Electronic Engineering gives me a solid understanding of control systems, information processing, operating systems, and mathematics.
This knowledge forms the foundation for efficient problem-solving and system development in data and software engineering, enabling me to deliver well-rounded solutions.

Worked with a diverse set of technologies

I have hands-on experience with a wide range of technologies. I have leveraged these tools to develop robust and scalable applications.

Languages and Communication Skills

I am fluent in both Portuguese and English, and I have intermediate proficiency in German. I have years of experience working in international teams in which English was the only language I used.

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