Jean Moraes Email and Phone Number
Data Engineer with over 3 years of experience in building scalable pipelines, Data Lake architecture, and cloud system migration (AWS/GCP). Passionate about solving real-world data challenges using modern technologies such as Python, Airflow, Spark, DBT, and NiFi.🎓 Bachelor's degree in Computer Engineering (UFPA) and MBA in Data Engineering (Impacta).💻 Experienced in ETL/ELT pipelines, data migration, Big Data process optimization, and systems integration with tools such as Apache Spark, Python, Data Lake (AWS S3, Google GCS, Delta Lake, Amazon Athena, EMR), and Data Warehouses (BigQuery, Redshift), as well as SQL Server Integration Services (SSIS).📊 Skilled in data analysis and visualization with Excel and Power BI, automation, and code versioning with CI/CD in Gitlab and Jenkins, and microservices orchestration with Docker and Kubernetes.💰 Cost optimization using FinOps to deliver data projects at the lowest possible cost, maximizing efficiency in all phases.🛠️ Experience in DRE and DataOps services, using ServiceNow to provide support and maintenance for critical data infrastructures, ensuring SLA compliance and seamless operations, avoiding disruptions. Also experienced in Data Quality using tools like AWS Deequ to ensure data consistency and integrity.⚙️ Agile methodologies (Scrum and Kanban), applying agile processes to deliver Big Data solutions efficiently and collaboratively.
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Data EngineerRd Apr 2022 - PresentSão Paulo, São Paulo, BrasilContributed 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.
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Data EngineerDadosfera (Anteriormente Datasprints) Oct 2021 - Apr 2022Participated 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. -
Junior Data AnalystDadosfera Jun 2021 - Oct 2021Belo Horizonte, Minas Gerais, BrasilDeveloped 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.
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Research Intern (Pibic)Gercom (Ufpa) - Computer Networks And Multimedia Communication Research Group May 2019 - Mar 2021Belém, Pará, BrasilWorked 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. -
Developer InternCeamazon - Ufpa Apr 2018 - Mar 2019Belém, Pará, BrazilContributed 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.
Jean Moraes Skills
Jean Moraes Education Details
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Data Engineering -
Computer Engineering
Frequently Asked Questions about Jean Moraes
What company does Jean Moraes work for?
Jean Moraes works for Rd
What is Jean Moraes's role at the current company?
Jean Moraes's current role is Data Engineer | Python | AWS | GCP | DataOps | Big Data | ETL | Analytics | FinOps.
What schools did Jean Moraes attend?
Jean Moraes attended Impacta Tecnologia, Federal University Of Pará.
What skills is Jean Moraes known for?
Jean Moraes has skills like Pandas, Git, Linux, Vim, Internet Das Coisas, Microsoft Powerpoint, Data Analysis, Jenkins, Ansible, Devops, Hadoop, Matplotlib.
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Jean Moraes
Product Development Engineer | R&D, Design, Validation And Testing | Cabin Climatization (Hvac), Engine Thermal And Fluids Management | Ice, Bev, Hev, FcevJundiaí, Sp
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