I am a data engineer with a master's degree in Random Models from Universidad Central de Venezuela. My passion lies in designing and developing scalable and efficient data solutions using a variety of platforms and tools, including Google Cloud Platform, Amazon Web Services, Snowflake, Spark, Airflow, Scala, Python, and R. Currently, I hold the position of Data Engineer at Wizeline, where I have successfully designed the architecture of data pipelines (AWS and GCP) and formulated data migration strategies using various APIs and Airflow. Additionally, I have developed pipelines capable of processing millions of daily transactions using Spark and Scala. My responsibilities also include data ingestion from diverse sources using SQL, specific APIs, and Scala to generate valuable data views for utilization in BI tools like Tableau. Furthermore, I closely monitor the efficiency of data pipelines in terms of performance and time. Prior to joining Wizeline, I served as a Data Engineer at Fractal Software and ACREDITA, where I gained experience in large-scale data processing projects, social network sentiment analysis, and predictive modeling using XGBoost. My ultimate objective is to perpetually enhance my knowledge and expertise in data engineering, applying best practices to leverage the value and impact of data across different domains and industries.