Cloud

Data Engineering with AWS

AWS is the foundation for the majority of data platforms I build. I design architectures spanning S3 data lakes, Glue ETL, Lambda serverless processing, Kinesis real-time streaming, and Redshift warehousing — always with cost optimization and security as first-class concerns. From startups needing their first data lake to enterprises migrating legacy on-prem systems, I deliver AWS solutions that scale with the business while keeping cloud bills predictable.

Projects Using AWS

IoT

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

150+ Clients ServedUnified Data Platform
PythonApache AirflowAWS GlueAWS S3AWS Lambda
Analytics

Executive Revenue Real-time Analytics Platform

Built comprehensive dashboard suite for tracking operations, customer behavior and financial metrics

Real-time KPI Monitoring360° Business View
PythonSQL ServerLookerAWS
Fintech

Growth Accounting Optimization Pipeline

Comprehensive Engineering Initiative to Enhance User Acquisition and Retention Strategies

18% Engagement LiftMulti-touch Attribution
PythonSnowflakeSQLAWSDocker
AI/ML

AI-Driven Development Process Optimization

Leveraging AI technologies to enhance software development processes

Automated Code ReviewsDays→Hours Review Cycle
PythonOpenAIGitHubAWSTerraform
Non-Profit

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

Zero Data Loss6-person Team Managed
AWSKinesis FirehoseSemarchySalesforcePython

Industries Where I Use AWS

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