Hi there! 👋 I'm Rafael Rodrigues and I work making difference through data strategies! I've been working in IT for over 10 years, 5 years with data, 1 year as a planning and project manager in the public service. I seek to implement the best principles and methodologies on the market to leverage business, increase earnings and add value to institutions.

• BI: Power BI
• Data Analysis: Excel
• Languages: Python, SQL
• DB: PostgreSQL, MongoDB
• Other stack: Git, Airflow, Docker, Meltano
• Cloud and Data Platforms: GCP, AWS, Databricks

• Problem-solving
• Creativity
• Team Collaboration
• Effective Communication
• English proficiency

• Data Analysis: Exploring patterns and deriving insights from data.
• Data Engineering: Develop, implement and maintain systems that take in raw data and produce business valuable data.

• Tech challenge to build a pipeline that extracts the data everyday from both sources and write the data first to local disk, and second to a PostgreSQL database: Work with Meltano and Airflow to deliver a robust data pipeline.
• ETL pipelines to extract data from various sources and load on containerized database: Uses Northwind famous database on a project to showcase Python, SQL, ETL, Airflow and Docker skills, by ingestin data from different sources on the file system, organizing and wrangling the data and then loadin on a container database.

• Analyzing customers behavior of a fintech with SQL: Analyzing user engagement data to optimize the launch of a new instant money transfer service in the Customer Journey of a financial service.
• Automated management dashboard using Power BI: Determine visual representations that yield comprehensive insights for agency management, ensuring data simplicity for analysis and real-time accuracy.
• E-commerce results recommendations: Outline the most effective strategy to boost an e-commerce platform's performance, culminating in actionable recommendations for the company.

• House Rent: Assist clients in finding the best value place to rent based on their preferences. Our focus is on optimizing key criteria such as cost, amenities, and location. #EDA, #Data analysis
• Retail Store Metrics Analysis: Help a retail store to enhance performance tracking and decision-making by creating key metrics from available client and sales databases. #EDA, #Data analysis

Let's connect and explore innovative opportunities together! 🚀