Junior Data Engineer / Data QA Engineer with hands-on experience in cloud data pipelines (Python, AWS), ETL processes, and data validation. Skilled in automating workflows, monitoring data pipelines, and applying CI/CD and DevOps best practices. Strong background in manual and automated testing, with a solid understanding of medicine, pharmacology, and clinical trials. Contributed to QA efforts across healthcare, enterprise, sports, and IAM domains. Eligible to work in the UK without sponsorship.
Data Engineering | Northcoders | March 2025 – Present
ETL-Data-Project-007: A cloud-native ETL solution that ingests simulated transactional data, transforms it into analytical star schema, and loads it into a Redshift data warehouse. Includes real-time monitoring, email alerting on failure, and interactive dashboards for data visualisation.
Link to project: https://github.com/DataEngine-dot/ETL-Data-Project-007
Tools and Tech: Python, SQL, AWS (S3, Lambda, Redshift, CloudWatch, EventBridge, SNS), Terraform, GitHub Actions, PostgreSQL, Amazon Redshift, Pytest, pip-audit, bandit, AWS QuickSight / Jupyter Notebook, git