I'm a Software Engineer turned Data Engineer with a strong track record of delivering impactful solutions across diverse domains. A lifelong learner and self-starter, I'm passionate about open source, both as a user and a contributor.
Throughout my career, I have worked end-to-end on software projects, from requirements gathering to architecture, modeling, and development. Over time, my journey has led me into Business Intelligence and Data Engineering, where I have applied my software engineering background to build scalable, high-quality data products that drive better decisions.
I’m motivated by the chance to design and build tools that genuinely help people—software that improves workflows, saves time, and empowers users. For me, it's not just about writing code—it's about creating meaningful impact and helping others bring their ideas to life.
Github:
github.com/marcusrehm
LinkedIn:
linkedin.com/in/marcusrehm
Throughout my career, I have worked end-to-end on software projects, from requirements gathering to architecture, modeling, and development. Over time, my journey has led me into Business Intelligence and Data Engineering, where I have applied my software engineering background to build scalable, high-quality data products that drive better decisions.
I’m motivated by the chance to design and build tools that genuinely help people—software that improves workflows, saves time, and empowers users. For me, it's not just about writing code—it's about creating meaningful impact and helping others bring their ideas to life.
Github:
github.com/marcusrehm
LinkedIn:
linkedin.com/in/marcusrehm
Senior Data Engineer
TripAdvisor
January 2021
to August 2023
Portugal
- Improved Tripadvisor’s customer data infrastructure and platform tools, unlocking insights and enhancing efficiency. Achieved better marketing effectiveness, reduced data latency, lowered overhead, and improved stakeholder autonomy.
- Improved campaign optimization by aligning email sends with user behavior, enhancing open and click rates through timezone-aware scheduling.
- Enhanced analytics cycles by creating reusable datasets (e.g., member profiles, contact center data), enabling teams with self-serve, standardized data.
- Reduced platform costs and complexity by replacing Hive with direct Snowflake-to-BigQuery transfers and simplifying ingestion pipelines through enhancements to Tripadvisor’s internal tool, Whampipe.-
- Supported platform modernization by migrating critical datasets to Snowflake from legacy storage, improving pipeline reliability, and enabling faster data availability for business reporting.
- Enhanced marketing ROI by revamping revenue attribution for the CRM team, boosting trackable revenue and allowing accurate user performance tracking.
