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
Principal Data Engineer
TripAdvisor
Since August 2023
Portugal
- As Principal Data Engineer, I led initiatives to enhance Tripadvisor’s data quality, governance, and product performance. This increased data trust, ensured privacy compliance, improved experimentation speed, and facilitated quicker product decisions.
- Enabled scalable customer data personalization by helping to architect a validation and enrichment framework in Snowflake for the Customer Data Platform (CDP), ensuring schema consistency and data integrity across segments, directly improving accuracy and reducing ingestion errors.
- Reduced costs and improved insights by migrating the experimentation platform to Snowflake with Snowpark, cutting data delivery times and enabling cost estimations for experiments.
- Accelerated product insights by redesigning the pipeline to send data to Mixpanel, transferring ownership from Analytics to Data Engineering, enabling quicker access to user behavior data for Product Managers.
- Enhanced regulatory compliance with a complete overhaul of DSAR reporting. Cut processing time by 75% and improved report accuracy for GDPR/CCPA standards.
- Contributed to the Taxonomy team to standardize event taxonomy, enabling teams to use a common data model, reducing onboarding time and establishing company-wide data trust.
- Mentored engineers and fostered knowledge sharing, supporting team growth and amplifying technical leadership.
