I am Jardel Moraes, a Data Engineer in the banking sector, where I implemented an automated data pipeline for a predictive Machine Learning model focused on managing costs related to labor lawsuits against the company. This project resulted in estimated savings of $3 million per year and was made possible using technologies like Databricks, PySpark, SQL Server, and Integration Services, ensuring a scalable and efficient solution.
I am currently working on migrating the Human Resources data ecosystem to the cloud, leveraging technologies such as Delta Lake, SQL Server, and Azure Databricks. This transformation is driving:
- Innovation and scalability.
- Improved data accessibility.
- Advanced analytics and predictive model development.
- Optimization of critical processes for more effective decision-making.
- Technologies: Apache Spark, SQL Server, Delta Lake, Azure Databricks, Power BI.
- Skills: ETL pipelines, data modeling, and building scalable solutions that enhance operational efficiency, reduce costs, and strengthen the strategic use of data in the banking industry.
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Azure Data Fundamentals (DP-900)
- Microsoft Certified: Security, Compliance, and Identity Fundamentals (SC-900)
- Microsoft Certified: Azure Network Engineer Associate (AZ-700)