Marion Schleifer is a Workflow Automation Developer based in Zurich with 11 years of experience building production-grade automations that streamline document-heavy accounting and finance operations in regulated environments. She blends a software developer’s rigor with a developer-experience mindset—previously leading global developer education for an open-source API used by 100K+ developers and contributing technical docs to the popular Hasura GraphQL Engine. Marion co-founded two social-impact organizations focused on digital inclusion and skills training, applying product thinking to design scalable data workflows, QA standards, and sustainable training programs. Comfortable across APIs, data pipelines, and human-in-the-loop systems, she turns complex operational requirements into reliable, maintainable automation solutions. Her background in software engineering, business administration, and language interpretation gives her a rare mix of technical depth, cross-cultural communication, and program-level strategy.
11 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree Language Interpretation and Translation, Bachelor’s Degree Language Interpretation and Translation at ZHAW Zurich University of Applied Sciences
Master’s Degree Computer Software Engineering, Master’s Degree Computer Software Engineering at HSR Hochschule für Technik Rapperswil
Master’s Degree Business Administration, Master’s Degree Business Administration at Lucerne University of Applied Sciences and Arts
Blazing fast, instant realtime GraphQL APIs on all your data with fine grained access control, also trigger webhooks on database events.
Role in this project:
Technical Writer
Contributions:124 reviews, 119 commits, 222 PRs in 3 years 5 months
Contributions summary:Marion primarily contributed to the documentation of the Hasura GraphQL Engine. They updated documentation footers, content for sample apps, and improved documentation on various topics, including queries, relationships, and mutations. Their changes include fixing typos, adding missing meta descriptions, and adding links to blog posts and documentation resources, indicating a focus on improving the clarity and completeness of the documentation.
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