I am a seasoned computer science professional with over a decade of experience crafting technology-driven solutions, a strong background, and experience as a data engineer, software engineer, database administrator, and machine learning. As a highly skilled and experienced data engineer, I leverage data-driven solutions that empower data analysts and business stakeholders.I have experience designing, developing, implementing, and maintaining scalable and reliable data solutions, including ETL pipelines, data modeling, data warehouses, data lakes, data marts, data quality, streaming data integration, distributed computing, and BI dashboards—proven ability to work with big data technologies and cloud platforms (AWS, GCP) to build scalable and secure data architectures. As a data engineer at Prediktive, I have led projects, developed, tested, and maintain scalable data solutions using Python, PostgreSQL, Microsoft SQL Server, BigQuery, AlloyDB, Apache Airflow, GCP, Apache Spark, and Looker. I have also worked on projects involving digital marketing data, predictive and prescriptive modeling, data analytics, and data visualization. I have a bachelor's degree in informatics and system Engineering, a master's degree in information system management, a postgraduate degree in databases, and a postgraduate in scientific research. I am an avid technology enthusiast and lifelong learner, always eager to explore new horizons in the ever-evolving tech landscape.Github: https://github.com/erickramirez Blog: https://erick-ramirez.medium.com