Long Lu
Data Engineer @SafeDriver Group
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WORK HISTORY
Data Engineer @SafeDriver Group
Berlin, DE
Developed and maintained scalable BigQuery data pipelines ingesting data from Google Sheets, Excel, Uber, and DATEV. Ensured timely, clean, and structured data for operational reporting, decision-making, and analysis.• Designed and launched an automated weekly driver performance scoring system integrating Samsara safety data and Uber performance metrics. Enabled transparent, fair driver assessments and weekly coaching.• Built self-service dashboards in Looker Studio and Google Sheets to track KPIs across payroll, fuel efficiency, safety events, and driver shifts. Reduced reporting time by 75% and empowered local teams to monitor their metrics.• Collaborated with stakeholders (ops, payroll, fleet) to align data models with business needs. Identified key metrics such as cost-per-ride, incident rates, and time-on-shift to drive operational decisions.• Integrated APIs from Samsara, Staffomatic, and Uber to centralise driver data, improve rule violation tracking, and reduce manual spreadsheet usage by over 60%.• Led driver behaviour analysis using Samsara GPS and event data (speeding, phone use, harsh braking) to build a scoring model, reducing unsafe driving events by ~15%.
EDUCATION
University of Adelaide
Bachelors
Adelaide Training and Employment Centre
Certificate II Construction
TAFE SA
Certificate III Carpentry
ABOUT LONG LU
Hi there I’m a data engineer and analyst with a background in computer science and a deep passion for turning messy, scattered data into clean, valuable insights that drive real-world impact. With experience across industries—from climate and sustainability to transport and logistics—I specialise in building scalable, reliable data systems that save time, reduce manual work, and empower better decision-making. I enjoy the full data journey: sourcing from APIs and spreadsheets, cleaning and transforming in BigQuery, and visualising through dashboards that actually make sense to the people using them. I love solving problems with data, especially when it means improving operations, automating painful manual processes, or helping teams track performance over time. Whether it\'s designing ETL pipelines, mapping complex datasets across platforms, or creating tools that operations or finance teams can use independently—I thrive at the intersection of data, tech, and people. Let’s connect!
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