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πŸ‘‹ Hi, I'm Daniel Martins FranΓ§a | @userdanixdev

Welcome to my GitHub profile!

I'm currently studying and building projects focused on Python, Data Analysis, Data Engineering, Databases, ORM, APIs and Big Data.

My goal is to keep improving my technical skills, build real-world projects and grow as a developer through practice, documentation and version control.


πŸš€ About Me

  • πŸ‘€ Interested in programming, data engineering, backend development, Cloud, Analytics and scalable projects
  • 🌱 Currently learning and practicing Python, SQL, Cloud Computing, Data Engineering and Analytics
  • ☁️ Building practical experience with AWS and Microsoft Azure
  • 🧠 Focused on data modeling, database design, ETL processes and backend foundations
  • πŸ’žοΈ Open to collaborating on educational, data-driven and backend projects
  • πŸ“« Contact: f.daniel.m@gmail.com

🧰 Tech Stack :

Python OOP SQL MySQL SQLite SQLAlchemy Flask Alembic

Pandas NumPy Matplotlib Seaborn R

Apache Spark PySpark SparkSQL Hadoop ETL Data Pipelines

Jupyter VS Code Git GitHub Conda

☁️ Cloud

AWS Amazon S3 AWS Glue Amazon Athena AWS IAM

Microsoft Azure Azure SQL Azure Blob Storage Azure SQL Managed Instance Microsoft Entra ID

πŸ› οΈ Technologies & Tools

🐍 Programming & Backend

  • Python
  • Object-Oriented Programming
  • Flask
  • SQLAlchemy ORM
  • Flask-Migrate / Alembic
  • REST API foundations

☁️ Cloud Computing

🟠 AWS

  • Amazon S3
  • AWS Glue
  • Amazon Athena
  • AWS IAM
  • Cloud-based data processing
  • Data Lake concepts

πŸ”΅ Microsoft Azure

  • Azure SQL
  • Azure SQL Managed Instance
  • Azure Blob Storage
  • Microsoft Entra ID
  • Azure-based database architecture
  • Cloud data storage and integration

πŸ—„οΈ Databases & Data Modeling

  • SQL
  • SQLite
  • MySQL
  • Relational Database Modeling
  • MER / ERD
  • CRUD operations
  • Database migrations

πŸš€ Data Engineering & Big Data

  • PySpark
  • Apache Spark
  • SparkSQL
  • Hadoop / HDFS
  • ETL pipelines
  • Data processing
  • Parquet / Delta Lake concepts
  • Data integration
  • Data transformation

πŸ“Š Data Analysis & Visualization

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • R
  • Exploratory Data Analysis
  • Data cleaning and transformation

πŸ§ͺ Testing, Logs & Quality

  • Pytest
  • Manual testing
  • Logging
  • Version control with Git
  • GitHub releases and pull requests

πŸ—οΈ Areas of Interest:

  • ☁️ Cloud Architecture
  • πŸ“Š Data Analytics
  • πŸ—„οΈ Database Architecture
  • πŸ”„ ETL / ELT Pipelines
  • 🏞️ Data Lakes
  • 🧱 Data Modeling
  • 🐍 Python Development
  • πŸ›’οΈ SQL & Relational Databases
  • πŸ“ˆ Business Intelligence
  • πŸ”Œ Data Integration
  • βš™οΈ Backend Development

πŸ“š Recent Project Highlights

  • Library Management System with SQLAlchemy ORM, SQLite, pytest, logs, Flask and Alembic migrations
  • Database modeling projects using MER and ERD concepts
  • Data processing studies with PySpark, Pandas and SQL
  • Structured repositories with documentation, releases and version control

πŸ“« Contact


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