Data Engineer | Data Platforms, Machine Learning & Optimization | Aerospace PhD
I build production data products that solve operational problems. My work combines data engineering, machine learning, and optimization with eight years of high-performance computing and scientific software engineering.
- Mercadona Tech: Modernized ELT pipelines with dlt and added data quality and governance controls with dbt.
- Mercadona Tech: Built vehicle-routing solutions with OR-Tools and productionized machine-learning models with MLflow for operational forecasting.
- GFT: Built cloud IoT pipelines and migrated legacy Redshift workloads to Apache Iceberg data lakes.
- Rolls-Royce UTC: Developed parallel scientific software and reproducible HPC workflows for large-scale jet-engine aeroacoustic simulations using C++, Fortran, Python, MPI, and Slurm.
- Coupling-API: Open-source coupling interface between OpenFOAM and Nektar++ for aeroacoustic simulation.
- Postgraduate lecturer at EDEM: Teach cloud storage architectures and managed data services across AWS and GCP.
Tools: Python, SQL, C++, GCP, AWS, dbt, dlt, Spark, Kafka, Iceberg, BigQuery, Kubernetes, OR-Tools, and MLflow.