Data Engineer at Merkle

Architected and optimized enterprise ETL pipeline handling large amounts of growing data with automated scaling. Implemented serverless data processing workflow (S3 → EventBridge → Step Functions → EMR cluster) achieving 35% performance improvement through intelligent cluster provisioning and PySpark optimization. • Partnered closely with business stakeholders including train operators, investment banks, and financial institutions to understand complex data requirements and deliver tailored solutions that aligned with their strategic objectives. • Engineered end-to-end data pipeline infrastructure using Matillion and AWS services, enabling enterprise clients to process complex data transformations at scale with reduced operational overhead. • Established CI/CD practices using GitHub Actions and Docker for systematic testing and automated deployment of data pipeline changes. • Leveraged AWS Glue for intelligent data cataloging and schema evolution, enabling seamless integration of new data sources across enterprise systems. • Developed real-time search and knowledge retrieval system using AWS OpenSearch and Bedrock, improving data accessibility and analytics capabilities.

Data Engineer at Merkle (Dentsu) UK

Architected and optimized enterprise ETL pipelines handling large volumes of growing data with automated scaling. Implemented a serverless workflow (S3 → EventBridge → Step Functions → EMR) and improved performance by 35% using intelligent cluster provisioning and PySpark optimizations. Built end-to-end pipeline infrastructure using Matillion and AWS services to support complex transformations at scale with reduced operational overhead. Established CI/CD practices using GitHub Actions and Docker for automated testing and deployment of data pipeline changes. Used AWS Glue for data cataloging and schema evolution to integrate new sources across enterprise systems. Developed real-time search and knowledge retrieval using AWS OpenSearch and Amazon Bedrock to improve data accessibility and analytics capabilities.

AI and Data Engineer Accelerator at AiCore

Built a data collection and processing pipeline for e-commerce analysis using Python OOP, Selenium web scraping, and Pandas transformations. Implemented an automated testing framework and configured CI/CD using GitHub Actions and Docker to enable containerized deployments.

Research Engineer Intern at InterDigital Europe Ltd

Designed and developed RESTful APIs for a service-based platform using Flask. Implemented multiprocessing in Python to improve processing efficiency. Worked in an Agile (Kanban) environment using GitHub for version control and issue tracking. Assisted with deployment of Virtual Network Functions on OpenStack infrastructure, gaining hands-on experience with cloud infrastructure and containerization technologies.