Position: R&D Cloud/Data Engineer
Category: Data Engineer
English level: fluent
Years of experience: 3

- Designed and developed data infrastructure and pipelines for drug discovery in one of the world's leading pharmaceutical companies (Merck & Co./MSD)
- MSc with honors in Biomedical Chemistry from Czechia's largest technical university
- Dean's List award for outstanding research results
In my role as a data professional, I've designed and implemented robust data processing pipelines and infrastructure for the life sciences and pharmaceutical sectors, with a focus on designing cloud-based ETL/ELT pipelines, integrating chemical and biological principles into transformative algorithms for data curation, and leveraging machine learning techniques for insightful data interpretation. Embracing adaptability, I continually enhance my skill set with emerging technologies, fostering team performance and demonstrating proficiency with a range of DevOps tools, including CI/CD pipelines, containerization, and Infrastructure as Code (IaC) for the streamlined setup of cloud-based data infrastructure.

Here's a snapshot of my technological competencies:
– Programming & Scripting Languages: Python, R, SQL, Bash, TypeScript (minor experience)
– Machine Learning Libraries: TensorFlow, Scikit-learn, Keras
– Data Processing & Management: AWS (Lambda, StepFunctions, Redshift, DynamoDB, Neptune, SageMaker), PySpark, Pandas, SQL (PostgreSQL, SQLite), Airflow, Galaxy
– DevOps & Infrastructure: Terraform, AWS CloudFormation, AWS CDK, GitHub Actions (CI/CD), Jenkins, Docker
– Version Control & Agile Tools: Git, GitHub, GitLab, BitBucket, Jira
– Data Visualization: Seaborn, Matplotlib, Plotly
– Software Best Practices: Test-Driven Development, Object-Oriented Programming
– Cloud Platforms: AWS, OpenStack
I am considering opportunities in data-focused roles exclusively within the pharmaceutical, biotech, medtech, or life sciences sectors. Specifically, I am interested in positions such as Data Engineer, Data Scientist, or Machine Learning Engineer, where I can leverage my technical expertise and industry knowledge.