With over four years of professional experience in the data field, a solid career path has been established with a focus on data engineering and business intelligence. The career commenced as a Business Intelligence Analyst, instrumental in structuring the data environment with a concentration on the Microsoft ecosystem to generate critical sales reports. Responsibilities included developing ETL processes while utilizing advanced tools like SQL Server, SQL Integration Services, SQL Analysis Services, and Power BI. These efforts involved direct participation in the evolution and optimization of processes, leading to enhanced agility and system improvements.Subsequently, transitioning to a role as a Data Engineer entailed the creation of solutions centered on sales, customer acquisition, and retailer support. This role encompassed the creation and optimization of data pipelines by integrating various sources such as MongoDB, PostgreSQL, Amazon S3, and APIs via tools like Pentaho, Spark, Python, Prefect, and Airflow. This period also included leading the implementation of solutions, collaborating closely with internal teams and stakeholders to ensure the successful migration to BIGDATA environments using Airflow, Spark Hadoop, and Metabase, resulting in significant efficiency savings for the organization.Contributions extended beyond technical responsibilities, encompassing leadership roles that involved close collaboration with multifunctional teams consistently driven towards innovation. Emphasizing effective solutions and operational excellence were key elements that positively impacted project success and enabled the organization to make strategic decisions based on precise data analysis.
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