Gabriel L.

As a Data Engineer with 4 years of experience, I have a passion for building scalable and efficient data pipelines that enable organizations to make informed decisions. My expertise lies in designing and implementing data infrastructure, including data ingestion, storage, processing, and analytics. I am well-versed in SQL, Python, and ETL tools such as Apache Spark and Airflow, and have experience working with both structured and unstructured data. Throughout my career, I have demonstrated a strong ability to collaborate with cross-functional teams to understand business requirements and translate them into data solutions that meet those needs. I have worked on projects involving data warehousing, data modeling, data integration, and data quality, among others. My goal is to help organizations unlock the full potential of their data by building reliable and scalable data platforms.