Camila Eloa B.

I am currently working as a Data Engineer at a consulting company, where I provide support, maintenance, and development for data lakes. I hold a degree in Data Science Technology and am currently pursuing a degree in Computer Engineering at Universidade Estadual UNIVESP. With five years of experience in data analysis and engineering, I have developed a comprehensive understanding of the entire data lifecycle. This includes researching and understanding client needs, data ingestion, data preparation and transformation, building visualization tools, presenting solutions to clients, and ensuring the deployment and maintenance of these tools. I have hands-on experience with data pipelines and ETL solutions in AWS, including GlueJob, Python, PySpark, Athena, S3, and more. Additionally, I am skilled in GCP technologies such as Pub/Sub, Dataflow, Apache Beam, Dataprep, and BigQuery for building scalable data pipelines and ETL workflows. I possess strong expertise in data visualization tools, including Power BI with DAX, Tableau, and Looker Studio. I also have experience with internal projects involving Azure Databricks, Data Factory, and Airflow for creating efficient data pipelines. Furthermore, I have worked on internal projects utilizing Alteryx for data integration and preparation. I am passionate about continuous learning, constantly exploring new tools, technologies, and methodologies through videos, courses, and other resources to enhance my skills. I strive to bring added value to the projects I work on and contribute meaningfully to my team's success.