As a Data Engineer, I focus on Python, SQL, PySpark, and cloud platforms. My main tasks involve ensuring data integrity, automating repetitive tasks, and designing efficient workflows to support the organization's needs. I pay close attention to detail and prioritize data accuracy, aiming to facilitate data-driven decision-making within the company.Before that, I worked as a Data and predictive Analyst. In this role, I led predictive analytics projects in the team, creating and analyzing machine learning models. I also communicated insights to stakeholders through data manipulation and visualization, using tools like Tableau.Prior to that, I worked Student part-time as a QA & Deployment Engineer at Bright Data. During this time, I focused on testing and deploying products used by millions of users worldwide. I provided real-time support and troubleshooting for technical issues, ensuring smooth operations for our customers.Alongside my professional experience, I hold an engineering degree focusing on engineering/industrial management and specializing in information systems from the Ruppin Academic Center.