Fernando Michel Baladi Tahan

As a highly motivated and curious data engineer, I am passionate about using data to gain insights and solve complex problems. With experience in ETL, scraping, and pipeline development, I have a deep understanding of how to manage and analyze large datasets in both relational and non-relational databases. I am also skilled in data warehouse design and implementation, with a strategic mindset that prioritizes data-driven decision making. Throughout my career, I have always worked remotely, collaborating with teams from around the world on a wide range of data engineering projects. From developing data pipelines for real-time data processing to designing and implementing data warehouses for business intelligence and analytics, I have experience in a variety of industries and use cases. I am comfortable working with a variety of tools and technologies, including SQL, Python, Apache Spark, and AWS, and I am always eager to learn new skills and stay up-to-date with the latest trends and best practices in the field. In addition to my technical skills, I am a strong communicator and collaborator, able to work effectively with both technical and non-technical stakeholders to understand their needs and deliver solutions that meet their requirements. I thrive in fast-paced, dynamic environments and enjoy taking on new challenges and solving complex problems. Overall, I am excited about the opportunities that data engineering presents and am always looking for new ways to leverage data to improve business outcomes and drive innovation. If you are looking for a skilled data engineer who can help you make the most of your data, please feel free to reach out to me.