Jean Moraes Email & Phone Number

São Paulo, São Paulo, Brasil

Contributed to the development of data ingestion pipelines from APIs and multi-cloud in a Data Lake, using Python, Pandas, Airflow, Spark, DBT, and S3 for ingestion into a Redshift data warehouse. My responsibilities included data integration and transformation from various sources, workflow orchestration with Airflow, and pipeline performance optimization, ensuring data quality and consistency through continuous validation and monitoring processes.I worked on the optimization and support of critical data infrastructures, applying DataOps practices to ensure the continuity of complex pipelines. I was responsible for automation and observability using Grafana and Prometheus, ensuring SLAs were met and maintaining operational resilience.I was also responsible for cost optimization with FinOps in AWS and GCP environments, adapting architectures to maximize efficiency and minimize expenses. Developed dashboards in Power BI to provide cost visibility, supporting decision-making and ensuring data governance and compliance.

Participated in a data migration and Data Lake construction project on AWS for a banking client, migrating systems to the cloud and recreating a legacy pipeline in SSIS using Python, Airflow, Spark, Redshift, Amazon EMR, and S3. I worked on data modeling in a Data Warehouse, applying the One Big Table (OBT) model for customer, payment, investment, and credit data.Contributed to the creation of a data pipeline framework using Spark, Airflow, and Python, optimizing the ingestion of new business data. In another project, I implemented fraud detection automation for financial transactions using data from the Central Bank.Additionally, I developed pipelines and Data Warehouses for the Brazilian Mining Institute (IBRAM), using Selenium, Airflow, PySpark, and Metabase, handling public data such as Caged and mining industry indicators.

Belo Horizonte, Minas Gerais, Brasil

Developed dashboards in Power BI for KPI visualization in internal and consultancy projects, providing a consolidated view of project costs and operations, reported directly to the CEO.Collaborated in the creation of a data pipeline using Spark, Python, Airflow, and Docker for the extraction and ingestion of Jira data, which was analyzed in Metabase to generate metrics and KPIs for the client.Worked on agile projects, using Jira for task management and deadline tracking, following the Scrum methodology, and contributing to the delivery of the MVP to the CTO, ensuring that the deliverables met project requirements and stakeholder expectations.

Belém, Pará, Brasil

Worked on two main fronts:Developed algorithms in Python and Machine Learning, focusing on cost optimization and performance improvement in IoT networks, applying data analysis and processing techniques to enhance network efficiency.Contributed to an R&D project for IoT applications, where I implemented a DevOps infrastructure using tools such as Docker, Kubernetes, Ansible, and Jenkins. This infrastructure was essential for automating and scaling systems, ensuring efficiency in data processing and storage.

Belém, Pará, Brazil

Contributed to an R&D project with the following responsibilities:Data extraction and transformation from Excel spreadsheets for PostgreSQL database modeling, actively participating in the creation and optimization of SQL queries.Developed a lightning prediction system for electrical grids using a genetic algorithm in Python, applying Artificial Intelligence techniques to enhance the accuracy and efficiency of predictions.

Postgraduate Lato Sensu, Mba In Data Engineering, Data Engineering

The program provided a strong development of both Hard Skills and Soft Skills, essential for a career in Data Engineering..

Bachelor’S Degree, Computer Engineering

The Computer Engineering program provided me with a solid foundation in technical and analytical skills, with a focus on developing.