Position: Big Data Engineer (Python)
Category: Data Engineer
English level: upper
Years of experience: 9

Publications:
• Multistage SVR-RBF-Based Model for Heart Rate Prediction of Individuals
• SGD-Based Cascade Scheme for Higher Degrees Wiener Polynomial Approximation of Large Biomedical Datasets

Completed courses:
• Google Cloud Skill Boost:
  - App Deployment, Debugging, and Performance
  - Securing and Integrating Components of your Application
  - Google Cloud Fundamentals: Core Infrastructure
• Data Warehouse and Business Intelligence
• SQL for Data Science
• Using Git for Distributed Development
• Design Patterns

Hackathons:
• BEST Hackathon
• AI Hackathon
Bachelor of Computer Science in Artificial Intelligence with more than two years of experience in Python, including 1.5 years in the Data Engineering field.
I also worked with Clouds and Big Data technologies such as Spark, Kafka, Hadoop, etc. I have completed a wide range of courses in my specialization and keep staying motivated to improve myself constantly.
Can be either a good team player or individual contributor and become an initiative leader if necessary.
Challenging position and opportunity to influence and deep dive into product development.
Potentially interested in Data Science and ML-oriented projects.

Desired stack: Python + GCP/Azure + (Big) Data Engineering

Open to new technologies if the learning environment is available. Intent getting cloud certification.