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@rafaeltedesco
rafaeltedesco
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Working from home

Rafael Tedesco rafaeltedesco

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Working from home
Software & Data Specialist@actdigital, Helping Global Companies Build Scalable Software and Data Solutions

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rafaeltedesco/README.md

I'm Rafael Tedesco, a seasoned Software and Data Engineer with over a decade of experience specializing in planning, building, and maintaining resilient and scalable web applications, and automating processes for data extraction, transformation, and loading (ETL) in Cloud environments. I support business specialists in their decision-making by providing robust data solutions.

What I Bring to the Table:

🚀 Extensive Experience in Data Engineering: Proven track record in developing ETL/ELT automation for data engineering, web applications, and analytics.

🔧 Proficiency in Diverse Technologies: Skilled in Python, SQL, NoSQL, and various cloud services including AWS and Azure.

📊 Building and Optimizing ETL Pipelines: Expertise in creating efficient ETL pipelines for data extraction, transformation, and loading.

🌐 Cloud Expertise: Extensive experience with AWS (Lambda, Glue, Athena, S3, Rekognition, SageMaker, and more) and Azure (Databricks, Data Lake Storage).

📚 Continuous Learning: Always exploring new technologies, development patterns, and best practices to stay ahead in the field.

Key Skills and Technologies:

  • Programming Languages: Python
  • Types of Database: SQL, NoSQL
  • Frameworks and Libraries: Pandas, PySpark, Pydantic, SQLAlchemy, NLTK, Flask, FastAPI, Django, Django Rest Framework, Streamlit, Jinja2, SQLModel, Beautiful Soup, Pillow, Selenium, PyTesseract (OCR Tool), PyPDF2, PyMuPDF, Python-Docx, Boto3, langChain
  • Cloud Services: AWS (Lambda, Glue, Athena, S3, Rekognition, SageMaker, etc.), Azure (Databricks, Data Lake Storage Gen2)
  • Architecture and Design Patterns: Medallion Architecture, Clean Architecture, Hexagonal Architecture, DDD, TDD, SOLID, OOP Design Patterns, Microservices Design Patterns
  • Big Data and Data Streaming: AWS Firehose, RabbitMQ, Kafka, SQS/SNS, RabbitMQ
  • Containers: Docker
  • BI Tools: Power BI (DAX, Power Query, Data Modeling), Excel
  • Machine Learning and AI: Hugging Face, OpenAI, LLM, RAG, scikit-learn
  • Other Technologies: Redis, Excel, VBA, GraphQL, JWT, Oauth2, Vector Databases (ChromaDB), SAP Netweaver

PinnedLoading

  1. openticket-microservicesopenticket-microservicesPublic

    An application developed to demonstrate the operation and how to create microservices, using different programming languages for each microservice, such as: Python with FastAPI, Java with Spring Bo…

    Java 5

  2. Typescript_Design_PatternsTypescript_Design_PatternsPublic

    Example projects applying Design Patterns using Typescript and addopting TDD

    TypeScript 6

  3. microservice-example-to-register-users-and-send-email-notificationmicroservice-example-to-register-users-and-send-email-notificationPublic

    JavaScript 5

  4. golang-rest-api-study-examplegolang-rest-api-study-examplePublic

    rest api for study

    Go

  5. Thiago-Mariotto/menu-online-apiThiago-Mariotto/menu-online-apiPublic

    Uma aplicação simulando um Ecommerce para restaurantes, onde será possível adicionar o cardápio, selecionar items e finalizar uma compra.

    TypeScript 2 1

  6. azure-storage-file-system-full-stackazure-storage-file-system-full-stackPublic

    App for frontend file transfers: send multiple files to store in Azure Storage

    TypeScript


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