Data Engineering with Python
Python is the connective tissue of every data engineering engagement. From custom ETL scripts and API integrations to PySpark jobs and infrastructure automation, I leverage Python's ecosystem to solve problems that off-the-shelf tools cannot. Whether it is building data quality frameworks with Great Expectations, automating cloud infrastructure with Boto3, or developing custom connectors for niche data sources, Python delivers the flexibility that enterprise data platforms require.
Projects Using Python
AI-Powered IoT Operations Platform
Built the data function from scratch for a 150+ client IoT platform — from legacy migration to unified analytics on AWS
Executive Revenue Real-time Analytics Platform
Built comprehensive dashboard suite for tracking operations, customer behavior and financial metrics
Food Delivery Analytics Platform Optimizations
Batch processing system handling millions of daily events for premier food delivery service
Growth Accounting Optimization Pipeline
Comprehensive Engineering Initiative to Enhance User Acquisition and Retention Strategies
Consumer Behavior Analytics
Analytics-driven system for tracking and optimizing user journey
AI-Driven Development Process Optimization
Leveraging AI technologies to enhance software development processes
Marketing Campaign Analytics
Optimizing ETL processes for marketing campaign analysis
Fintech Data Migration
Mortgage data system modernization for financial services
Investment Portfolio Analytics System
Statistical analysis system for investment portfolio monitoring
Donor Intelligence & CRM Migration Platform
End-to-end AWS data platform with medallion architecture for a top-5 UK non-profit — Salesforce migration, MDM, and reverse ETL
Industries Where I Use Python
Other Technologies
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