Professional Summary
Data Engineer focused on building scalable data platforms and AI-enabled products. Experienced in designing batch and near-real-time pipelines, improving data reliability, and shipping analytics systems that support product and business decisions.
Core Skills
Python, SQL, Spark, Azure Data Factory, Azure Data Lake, Databricks, Delta Lake, Data Modeling, ETL/ELT Design, Data Quality Automation, LLM Integrations, Prompt Workflow Design.
Selected Highlights
Designed Medallion-style data architecture for structured analytics layers (Bronze/Silver/Gold).
Built Spark ETL pipelines with partition optimization, retry-safe jobs, and automated quality validations.
Developed AI applications including a story generator and an LLM-based resume analyzer.
What I Work On
Data platform engineering, cost and performance tuning, analytics readiness, and practical AI features that deliver measurable value.
Links
GitHub: github.com/heyrobin
LinkedIn: linkedin.com/in/heyrobin
Kaggle: kaggle.com/heyrobin