Summary
Tamunopriye Dagogo-george is a pragmatic Data Engineer with eight years’ experience building end-to-end data pipelines, orchestration, and serverless deployments across AWS, GCP, and Azure. He combines Python-first engineering (Flask, PySpark) with hands-on cloud integrations—reducing costs and downtime through automation (Cloud Functions, Airflow, Cloud Run) and improving streaming and ETL performance with Kafka, Databricks, Glue and Snowflake. At startups and as a freelancer he has repeatedly cut latency and infrastructure spend while scaling data accessibility for analytics and OLAP/OLTP workloads. Comfortable across scraping, image OCR, and complex data wrangling, he blends backend microservices and CI/CD with practical data modelling to turn messy sources into analysis-ready stores. Based in the UK, he’s equally at ease deploying on managed serverless platforms and standing up compute-based Airflow for optimized parallel execution.
8 years of coding experience
5 years of employment as a software developer
Undergraduate Computer Science, Undergraduate Computer Science at University of Ilorin, Nigeria