- Mail: aurora.melo@ritzcarlton.com
- Address: The Ritz-Carlton, Tverskaya Street 3, Moscow, Russia
- Phone: +7 (495) 225-8888
- Name: Aurora Melo
- LinkedIn: linkedin.com/in/aurora-melo-russia
Data Engineer, 2021 - Present at TechCorp
- Develop and maintain data pipelines to support real-time analytics for a variety of business units.
- Collaborate with cross-functional teams to optimize data storage and retrieval processes, resulting in improved efficiency and accuracy of data analysis.
As a skilled Data Engineer, I possess a deep understanding of data modeling and database design, allowing me to create efficient and scalable data pipelines. My expertise in programming languages such as Python and SQL enables me to manipulate and analyze large datasets with precision and accuracy. With experience in cloud platforms like AWS and Google Cloud, I can deploy and manage data infrastructure effectively. Additionally, my strong problem-solving skills and attention to detail ensure that data processes are optimized for maximum performance.
- Bachelor of Science in Computer Science, University of California, Berkeley, 2018
- Master of Science in Data Engineering, Stanford University, 2021
- Mail: aurora.melo@ritzcarlton.com
- Address: The Ritz-Carlton, Tverskaya Street 3, Moscow, Russia
- Phone: +7 (495) 225-8888
- Name: Aurora Melo
- LinkedIn: linkedin.com/in/aurora-melo-russia

- Bachelor of Science in Computer Science, University of California, Berkeley, 2018
- Master of Science in Data Engineering, Stanford University, 2021



As a skilled Data Engineer, I possess a deep understanding of data modeling and database design, allowing me to create efficient and scalable data pipelines. My expertise in programming languages such as Python and SQL enables me to manipulate and analyze large datasets with precision and accuracy. With experience in cloud platforms like AWS and Google Cloud, I can deploy and manage data infrastructure effectively. Additionally, my strong problem-solving skills and attention to detail ensure that data processes are optimized for maximum performance.

Data Engineer, 2021 - Present at TechCorp
- Develop and maintain data pipelines to support real-time analytics for a variety of business units.
- Collaborate with cross-functional teams to optimize data storage and retrieval processes, resulting in improved efficiency and accuracy of data analysis.