Professional Overview
Data Engineer with 5+ years building and operating production data pipelines and warehouse architectures — including retail & e-commerce data — that a trusted data layer of analytics, BI and AI depends on. Advanced SQL and strong Python for ingestion, transformation and enrichment across high-volume, multi-source data. Designs core data models and
Areas of Expertise
AI Business, Marketing & Strategy
Apply AI to marketing automation, content generation, customer segmentation, and revenue growth strategies.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
