Joseph Buty

Data Engineer – Marketing Analytics

https://talent.gravityer.com/joseph-buty

California State University, Chico

Key Strengths

Extensive senior-level experience in AI/ML data infrastructure, RAG, and LLM systems at Meta, directly relevant to modern data engineering.
Proven track record in designing and optimizing large-scale ETL pipelines, data architectures (Data Lakehouse Patterns, Vector Databases), and big data processing (Apache Spark, PySpark).
Strong proficiency in core data engineering languages and tools including Python, SQL, and API Integration & Development.
Demonstrated ability to take end-to-end technical ownership, scale solutions (e.g., 60,000 production conversations/day), and lead cross-functional engineering teams.
Relevant experience in analytics, risk modeling, revenue optimization, and performance intelligence, aligning well with the 'Marketing Analytics' aspect of the target role.
Solid academic background in Mathematics (Statistics Focus) and Mechanical Engineering, complemented by an Applied Data Science Program.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's extensive experience at top-tier tech companies (Meta, Facebook, Google) across diverse roles (Data Engineer, Data Science Analyst, Business Product Specialist) indicates adaptability, resilience, and a strong drive for impact in high-performance, data-driven environments. Their specialization in AI/ML data infrastructure and commitment to building scalable solutions aligns well with innovative and forward-thinking cultures. The personal project further showcases initiative and a passion for technology.

Soft Skills & Operational Fit

The candidate demonstrates strong leadership by founding and leading cross-functional engineering teams, indicating excellent collaboration and project management capabilities. Their experience in diagnosing and resolving business-critical issues, taking end-to-end ownership, and translating unstructured data into measurable business intelligence highlights robust problem-solving, strategic thinking, and operational excellence. The resume also suggests a proactive approach to continuous learning and innovation through personal projects.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Extensive senior-level experience in AI/ML data infrastructure, RAG, and LLM systems at Meta, directly relevant to modern data engineering.
Proven track record in designing and optimizing large-scale ETL pipelines, data architectures (Data Lakehouse Patterns, Vector Databases), and big data processing (Apache Spark, PySpark).
Strong proficiency in core data engineering languages and tools including Python, SQL, and API Integration & Development.
Demonstrated ability to take end-to-end technical ownership, scale solutions (e.g., 60,000 production conversations/day), and lead cross-functional engineering teams.
Relevant experience in analytics, risk modeling, revenue optimization, and performance intelligence, aligning well with the 'Marketing Analytics' aspect of the target role.
Solid academic background in Mathematics (Statistics Focus) and Mechanical Engineering, complemented by an Applied Data Science Program.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Joseph Buty

Key Strengths

Cultural & Operational Fit

Skills

Education

Key Strengths

Cultural & Operational Fit