Bob Lannon is a Lead Data Engineering who brings 14 years of experience building resilient, observable data platforms that power both production applications and research initiatives. Based in Berlin, he has a strong track record designing end-to-end ELT pipelines, self-service transformation platforms (DBT), and hybrid stream/batch architectures for high-volume IoT and clinical research data. He favors building teams deliberately, setting tight value-driven visions, and enforcing objective performance metrics to sustain trust and accountability. Skilled in NLP, data science and machine learning, Bob translates domain expertise into tested, deployable pipelines and has trained analysts into analytics engineers and data engineers. He’s pragmatic about cost and automation—his CI/CD and DBT automation work saved a prior employer roughly $50k/year—while still prioritizing engineering excellence and clear communication. Colleagues describe him as a decisive, transparent leader who iterates closely with stakeholders to co-create practical, measurable outcomes.
14 years of coding experience
10 years of employment as a software developer
BA Linguistics English, BA Linguistics English at Temple University
AM Linguistics, AM Linguistics at University of Pennsylvania
Contributions:242 commits, 1 PR, 24 pushes in 1 year 7 months
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