Transform unstructured and semi-structured R&D data into standardized, governed, and analytics-ready data assets.
Design, build, and operate scalable ETL/ELT pipelines, data lakes, and data warehouses with strong data quality, monitoring, and lineage.
Modernize legacy data flows through APIs and integration patterns within the Microsoft Azure ecosystem (e.g., Databricks, Blob Storage).
Optimize cloud infrastructure for performance, security, and cost efficiency while supporting enterprise data governance and compliance.
Partner with Data Scientists, Analysts, R&D scientists, IT teams, and vendors to enable ML/AI use cases and smart laboratory initiatives.
Identify siloed data sources and propose strategies to extract value through connectivity
Collaborate with cross-functional teams to design, implement, and maintain web applications using the newly structured data.
Contribute to Innovation Excellence standards, reusable components, and technical knowledge sharing across the whole company.

Data Engineer with Databricks