— Experience
DoneMaker
Data pipelines and Notion integrations that cut manual processing
Highlights
- Designed robust data pipelines using Python to extract, filter, and store unstructured data, eliminating 15+ hours of manual processing overhead
- Integrated third-party APIs like Notion, guaranteeing cross-platform data integrity and high-fidelity storage
Built automation for DoneMaker around messy, unstructured inputs. The goal was less manual processing and cleaner handoffs into tools the team already lived in.
What I worked on
I designed Python data pipelines to extract, filter, and store unstructured data, which cut about 15+ hours of manual processing. I also integrated third-party APIs like Notion so data stayed consistent across platforms instead of drifting between one-off exports.
Testimonial
Elrich has strong knowledge of API calls, database automation, and LLMs. He completed the project on time, delivered it with clear, detailed documentation on how we could maintain it, and maintained professional communication throughout the entire project. Would highly recommend him for his skills in software development, API calls and automations with LLMs.