Tech Stack: Python

Expert’s cases:

1. Experience with Cloud and Hybrid implementation of large-scale data projects

2. Collaboration with stakeholders to define data requirements and data models

3. Contribute to and support the roadmap to transform data architecture

4. Developed data dictionaries, business glossaries, data models/ERD, define data quality processes and KPIs

5. Contribute to the transformation of data architecture, focusing on scalability, performance, and flexibility throughout the data lifecycle (ingestion, storage, and consumption)

6. Worked on Healthcare product development in the AWS platform

7. Implemented end-to-end big data application (from Data Discovery to Reporting)

8. Lead deep technical engagements with partners, including Briefings, Proof of Concepts

9. Successfully migrated 8 mission-critical SQL Server databases, totaling 20 terabytes of data to Azure without any data loss or significant downtime

10. Achieved a 30% reduction in total cost of ownership (TCO) compared to on-premises infrastructure