About Me
Data Engineering Professional with a Master's in Data Science and hands-on experience in SQL, Python, and cloud-based data platforms (GCP, BigQuery). I specialize in building scalable data pipelines that drive real business impact.
At TELUS, I've built data-driven systems that drive significant business impact, designed 13+ production data pipelines, and built fault-tolerant ETL systems that process large volumes of customer data daily.
Technical Skills
Programming Languages
Cloud & Data Platforms
Data Engineering
Machine Learning
Professional Experience
Data Engineer
- Cart Abandonment Recovery System: Built sophisticated multi-stage data pipeline identifying cart abandoners across multiple product lines with complex SQL logic for consent management, duplicate prevention, and multi-brand customer identification, generating significant recovered revenue
- Email Attribution Dashboard: Developed comprehensive revenue attribution system tracking customer journeys from email campaigns to purchases across multiple brands with 7-day attribution windows and complex product pricing calculations, powering executive Looker Studio dashboards
- AJO Anomaly Detection System: Created automated anomaly detection system monitoring Adobe Journey Optimizer campaigns with containerized Python scripts, batch job orchestration, and intelligent alerting proactive campaign management
- Enterprise Data Pipeline Architecture: Built 13+ production data pipelines processing large volumes of customer data daily with high reliability, orchestrating end-to-end data flows between cloud data warehouse and marketing automation platforms
- Batch Processing & Workflow Orchestration: Implemented fault-tolerant ETL workflows using Cloud Workflows, batch job execution, and automated monitoring with daily alerting for ingestion failures and delivery issues
- Infrastructure as Code: Developed and maintained enterprise data infrastructure using Pulumi, managing cloud resources, datasets, stored procedures, and deployment configurations across multiple environments with versioned deployments
Developer Analyst I & II
- Analytics Implementation: Led implementation of analytics solutions using dataLayer and Adobe Launch across multiple digital properties
- Stakeholder Management: Collaborated with product owners and data analysts to translate business requirements into technical solutions
- Data Accessibility: Enhanced data usability and accessibility for cross-functional teams through improved data architecture
Mechatronic Engineer
- Automation Design: Designed autonomous golf ball collection robot, eliminating manual labor and reducing operational costs for golf courses
- Sensor Programming: Programmed various sensors and control systems using Python and C for real-time object detection and navigation
- Engineering Analysis: Performed mechanical assembly, Finite Element Analysis, and system control using Arduino and ESP32 microcontrollers
Featured Projects
Cart Abandonment Recovery System
Sophisticated multi-stage data pipeline system that identifies cart abandoners across multiple product lines, then orchestrates targeted email campaigns through marketing automation platforms to recover lost revenue.
Email Campaign Attribution Dashboard
Comprehensive revenue attribution system tracking customer journeys from email campaigns to purchases across multiple brands with sophisticated product revenue calculations.
AJO Campaign Anomaly Detection System
Automated anomaly detection system monitoring marketing automation campaigns with intelligent alerting for proactive campaign management.
Enterprise Data Analytics Platform
At TELUS, I've built data-driven systems that drive significant business impact, designed 13+ production data pipelines, and built fault-tolerant ETL systems that process large volumes of customer data daily.
Dating a Scientist
Advanced clustering analysis on OkCupid dataset to identify user behavior patterns and improve matching algorithms.
Complete Poetry
RNN-based deep learning model for automated poetry generation, exploring AI creativity and language modeling.
Let's Connect
I'm always interested in discussing data engineering opportunities, collaborating on innovative projects, or sharing insights about the latest in data technology and machine learning.