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Simply lovely
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Simply lovely
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RafaelParraCoelho/README.md

Hello there 👋

I'm Rafael Parra Coelho 🎓 Junior Data Analyst & Aspiring Data Engineer | 🐍 Python & SQL | 🗄️ Database Enthusiast | ☁️ Cloud Learner

🚀 About Me

  • 🎓 Pursuing a Bachelor's degree in Information Systems (Anhembi Morumbi, 2023–2027)
  • 📊 1+ year of hands-on experience in data analysis, database modeling, and ETL automation in corporate environments
  • 🗄️ Passionate about relational databases, SQL optimization, and data quality — open to both Data Analyst and DBA paths
  • 🔧 Experience building ETL pipelines, automating data workflows, and generating KPIs for PMO teams
  • 🐍 Proficient in Python for data analysis, automation, transformation, and web scraping
  • 📈 Focused on turning raw data into reliable, well-structured information that drives real decisions

My goal is to grow as a Data professional — whether in Data Analysis, Data Engineering, or Database Administration — contributing to robust and trustworthy data solutions.

💼 Experience Highlights

  • Developed Python and SQL automations to consolidate and validate operational data, reducing manual rework for corporate teams
  • Modeled relational databases and structured data pipelines to deliver KPIs directly supporting PMO decision-making
  • Operated and maintained 6 corporate platforms simultaneously: Protheus, Salesforce, Zendesk, Limber-Card, WayV, and Volpe/Vixen
  • Built exploratory data analyses (EDA) and reports to identify inconsistencies and patterns in operational datasets

🔧 Tech Stack

Databases & SQL

  • Relational: PostgreSQL, SQLite
  • NoSQL: MongoDB (basic)
  • Skills: Complex queries, JOINs, CTEs, subqueries, schema modeling, data validation

Data Analysis & Engineering

  • Languages: Python, SQL, R
  • Libraries: Pandas, NumPy, Matplotlib, Seaborn, Plotly
  • ETL & Pipelines: Python automation, Apache Airflow (learning)
  • BI & Visualization: Power BI, Tableau, Excel

Cloud & Big Data

  • GCP: BigQuery, Cloud Storage
  • Azure: Fundamentals (in progress)

Development & Integration

  • APIs: REST API integration (Requests, Flask/FastAPI)
  • Web Scraping: BeautifulSoup, Selenium
  • Version Control: Git, GitHub
  • Other: JavaScript, HTML, CSS, C, C++, Linux

🧠 Core Skills

  • 🔄 ETL/ELT Pipelines: Automated data workflows using Python and SQL
  • 🗄️ Database Management: Relational modeling, schema organization, query optimization
  • 🧹 Data Quality: Validation, error handling, null/duplicate detection, consistency checks
  • 📥 Data Ingestion: Web scraping, API integration, batch data collection
  • 📊 Analytics Support: KPI generation, EDA, dashboards, and reporting
  • ☁️ Cloud Data: BigQuery for analytical queries, Azure fundamentals

💡 "From failure to success, from success to the next attempt"

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