Leonardo E.Data Engineer
Skills
Holding a Bachelor's Degree in Electrical Engineering from the University of São Paulo, I have accumulated extensive experience in software development and data engineering since 2019. My expertise spans across a variety of technologies, including SQL, Python, Scala, Spark, Kafka, Docker, Kubernetes, Apache Beam, and cloud platforms such as AWS and GCP. With a focus on addressing complex problems and devising innovative solutions, I have obtained certifications as a Professional Scrum Product Owner I from Scrum.org and a Google Cloud Certified Professional Data Engineer. I continue to expand my knowledge and skills through ongoing studies in this dynamic field.
Senior Data Engineer
8/1/2021 - Present
Developed proficiency in real-time processing of large volumes of data for SaaS applications using Kafka, Scala, and Go. Implemented and managed solutions within the GCP environment, leveraging Kubernetes for container orchestration and efficient resource management.Junior Data Engineer
7/1/2020 - 8/1/2021
Developed technical proficiency in Python, AWS Cloud, SQL, Tableau, Terraform, and MongoDB while working as a Data Engineer. Played a pivotal role in the Analytics team on the Samsung Knox project, effectively optimizing data workflows and enhancing analytical capabilities. This role demanded a thorough understanding of cloud environments, data visualization tools, infrastructure as code, and database management systems to ensure seamless data integration and insightful reporting.Data Engineer Intern
7/1/2019 - 7/1/2020
Served as a Data Engineer Intern, gaining expertise in automating processes using Python and developing APIs utilizing PHP, the CodeIgniter framework, and JavaScript. Led ETL processes using PySpark and processed large datasets within the Hadoop framework. Demonstrated robust data management skills with SQL and HBase, while efficiently operating within AWS and Cloudera environments to support data engineering initiatives.Risk Management
1/1/2019 - 2/1/2019
Responsible for developing a statistical model to predict investment funds from competitors, utilizing Python, Excel, and SQL during a summer internship at an investment bank. Developed proficiency in statistical modeling and data analysis using Python. Demonstrated extensive analytical skills with Excel, including advanced functions and data manipulation techniques. Leveraged SQL for data extraction and database management, ensuring accuracy in predictive outcomes.
Electrical and Electronics Engineering at University of São Paulo
2016 - 2020Software Architecture at FIAP
2023 - 2024
Google Cloud Certified Professional Data Engineer at Google
6/1/2022Professional Scrum Product Owner I (PSPO I) at Scrum.org
7/1/2021Applied Data Science and Machine Learning for Cyber Security at GTK Cyber
12/1/2020
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