Bryan Schaefer
@bryanschaefer3
Lead Data Engineer building scalable batch/streaming data platforms for analytics and machine learning.
What I'm looking for
I’m a Lead Data Engineer focused on architecting and operating scalable data platforms for analytics, reporting, and machine learning workloads. I design and implement batch and streaming pipelines, cloud-native data architectures, and distributed processing frameworks, delivering production-grade infrastructure with strong data modeling, orchestration, observability, and automated data quality controls.
In recent roles, I directed development of 30 batch and streaming pipelines processing 5TB daily datasets and integrated 12 data sources to deliver curated analytics datasets used by BI and data science teams. I established reliability and observability across 50 production pipelines, reducing failure rates by 35%, and mentored 6 engineers while improving deployment efficiency by 40% through CI/CD and modular pipeline standards.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
MindEase
Jan 2017 - Jan 2018 (1 year)
Analyzed operational and product datasets using SQL and Python to support 10 internal reporting dashboards. Authored transformation scripts, created BI dashboards for 15 KPIs, and performed data validation checks that improved reporting accuracy by 20%.
Education
Degrees, certifications, and relevant coursework
Texas Tech University
Bachelor of Science in Computer Science, Computer Science
2013 - 2016
Grade: GPA 3.8/4.0
Completed a Bachelor of Science in Computer Science, building foundations in algorithms, data structures, distributed systems, and database systems. Applied Python, Java, and SQL through coursework and academic projects focused on data processing, software development, and backend system implementation.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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