Summary
Data Engineer and AI Engineer with hands-on experience in building data pipelines, processing large datasets, and developing AI-driven solutions. Skilled in transforming raw data into actionable insights and deploying scalable data and machine learning workflows to support business and analytical needs.
Overview
Data & AI Engineer experienced in data engineering, analytics, and machine learning workflows. Strong background in data processing, model development, and automation, with a focus on delivering efficient, reliable, and scalable data-driven solutions.
Experience Highlights
- Designed and maintained data pipelines for collecting, cleaning, and transforming structured and unstructured data
- Built and optimized ETL/ELT workflows to support analytics and AI use cases
- Collaborated with cross-functional teams to translate business requirements into data and AI solutions
- Ensured data quality, consistency, and performance across data systems
- Automated data processing and model workflows to improve efficiency and reliability
Core Strengths
AI Engineer
Data Engineer
Deliverables
Data Pipelines & ETL Workflows
Machine Learning Models
Data Dashboards & Insights
Model Evaluation & Performance Reports
Technical Documentation
Tools & Frameworks
Microsoft Azure
Azure Data Services (Azure Data Factory, Azure Storage)
Power Automate
n8n (Workflow Automation)
Python
SQL
Pandas & NumPy