Work experience with projects, data engineering, data science e software engineering: - Python (Pandas, Numpy, MatPlotLib, Seaborn, Plotly, Streamlit, Selenium, Pytest) [+4 years] - SQL (Query, Triggers, Procedures) [+2 years] - MySQL, PostgreSQL, SQL Server, MongoDB - AWS (SQS, SNS, Lambda, EC2, ECS, Step Functions, EventBridge, CloudWatch, DynamoDB, RDS, S3, API Gateway) [+1 year] - GCP (PubSub, Cloud Function, Cloud SQL, BigQuery, Cloud Run, Cloud Scheduler, BigTable, Cloud Storage) [+1 year] - Heroku - CloudFormation / Terraform [+1 year] - Splunk - Apache Hive, Apache Kafka, Apache Spark (learning) - PowerBI, Tableau, D3.js - Git, GitHub, Gitlab, Git Workflows [+4 years] - Jira, Trello, Slack, Pipefy, Discord, Teams, Confluence - Agile Methodologies, Scrum, Kanban, XP My Certifications: - AWS Cloud Practitioner - Data Visualization and Dashboard Design - Deep Learning with Python from A to Z - The Complete Course I'm a software engineer passionate about the world of Data Engineering. I have more than 4 years of working experience using different technologies in several contexts, especially Python and SQL. I am fascinated by cloud computing technologies (AWS) and big data tools (Hadoop, Spark, Kafka). I believe that my development helps in the development of other people. I love to learn new concepts, experience new challenges, and pass on all the knowledge to impact other people's lives. Leadership, Communication and Knowledge Sharing believe that they are my main skills and that I always aim to evolve them. Nowadays, I work on Data Engineering projects, involving data ingestion, and operating in a cloud computing environment. In addition, I'm a content creator. I share my learnings and experiences through my YouTube channel and some training projects. I look forward to continuing to evolve my skills with Python and AWS, experimenting with new big data technologies such as Apache Spark and Airflow.