Available to hire
Hi, I’m Jonathan Biemond, a software developer and data engineer based in Neuchâtel, Switzerland, with a track record of designing high-performance data and software solutions for manufacturing and analytics. I enjoy turning complex problems into clean, scalable systems.
I thrive in cross-functional teams, value documentation and CI/CD, and love helping stakeholders see the value of data through reliable tools and dashboards.
Skills
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Experience Level
Expert
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Language
Afar
Advanced
Amharic
Advanced
Work Experience
Data Engineering Consultant at DeVry Greenhouses Ltd.
September 1, 2024 - November 4, 2025Designed an on-premises data warehouse in PostgreSQL; built an ETL pipeline with dbt and Airflow that improved dashboard refresh times and lowered the knowledge barrier for analysts; created a Customer Order Generation tool in Python and SQL to modernize ordering across departments.
Lead Data Analyst at DeVry Greenhouses Ltd.
August 1, 2024 - August 1, 2024Scaled the Data Department from two to five teams; led data insights across the company and drove data quality improvements; advanced data maturity through systems development; achieved a 25% reduction in time spent managing orders by focusing on user requirements and removing development roadblocks; innovated replenishment forecasting recognized by industry leaders.
Software Developer at Quantum Engineering
March 1, 2024 - November 4, 2025Engineered a full-stack Django application with engineering tools; optimized front-end performance using HTMX (20x faster initial page load) and Alpine.js (95% faster interaction); refactored a multimodel hierarchical relationship into reusable methods and optimized SQL; implemented unit and regression tests and CI pipeline with GitHub Actions; collaborated with product owners to codify design requirements; produced extensive documentation to enable contributions from developers and stakeholders.
Data Analyst at DeVry Greenhouses Ltd.
September 1, 2022 - September 1, 2022Shortened time to data access by 5 hours per week via ETL pipelines; improved report reliability with data quality checks; generated and maintained reports for account managers and customers using Excel and Power BI; built models to forecast sales and support daily order quantity recommendations using Python, pandas, NumPy and SQLAlchemy.
Education
Applied Data Analytics Certificate at British Columbia Institute of Technology
April 1, 2022 - December 1, 2024Qualifications
Industry Experience
Software & Internet, Manufacturing, Professional Services, Education, Retail
Skills
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Experience Level
Expert
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