As a Data Architect and Engineer, I live an intense and rewarding journey of solving challenges through various projects in Business Analysis and Marketing. My focus has been on creating and implementing scalable solutions that are precisely tailored to drive growth and data empowerment in businesses. I hold a postgraduate degree in Big Data Management and Analytics from Senac-SP, and I constantly enhance my expertise in designing and implementing high-performance data pipelines, as well as architecture in cloud computing environments.
I am proud to hold certifications in GCP – Google Cloud Platform, AWS, Data Science and Machine Learning (Tera), Advanced Data Analysis (Google), and Business Intelligence (Google). These certifications reflect my passion and commitment to the world of data and Cloud Computing.
My technical skill set is broad and deep, with proficiency in Data Engineering on Databricks. This includes expertise in Delta Live Pipelines, Unity Catalog, performance tuning, and management of development and production workspaces. Additionally, I have experience and expertise in Apache Airflow, Hadoop, Spark, Kafka (Pub/Sub), and various data storage solutions.
Beyond these technical skills, I am passionate about Data Modeling, Machine Learning & AI, and using Data Visualization tools to transform complex data into insights that generate direct actions in businesses. I am also fluent in multiple languages, a skill that has significantly expanded my ability to achieve success in both national and international contexts.
My journey has been one of continuous learning and practical application of knowledge, careful planning, data modeling, and generating insights to make a tangible and positive impact on organizations.
2024
2023
Data Science & Machine Learning - Tera   view
Year-long 360-hour course with live classes from renowned Brazilian data scientists and engineers.
Published article
Recomendação Musical por Reconhecimento Facial — Gerando uma playlist no Spotify a partir de emoções
Digital Product Design - Tera   view
Microsoft Azure Databricks for Data Engineering - Microsoft    view
Programming
Python, SQL, Scala, JavaScript, C++
Big Data
PySpark, Spark, Hive, Hadoop, Kafka (Pub/Sub)
Data Warehousing
Databricks, BigQuery, Redshift, S3, Azure Data Lake
Data Modeling
ER/Studio, erwin Data Modeler, MySQL Workbench
Machine Learning
TensorFlow, PyTorch, Keras, Scikit-learn
Data Visualization
Tableau, QlikView, Power BI, Looker, Looker BI