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Aniello P.
Data Engineer
Aniello is a Senior Data Engineer with over seven years of commercial experience developing data-driven, production-grade systems. He specializes in software and machine learning pipeline development using Python, Azure, Databricks, and distributed computing frameworks.
At BP, he leads the design of LLM and predictive analytics pipelines that reduce manual workloads by 60% and decrease equipment downtime by 40%, driving significant annual savings. His work on real-time data platforms and high-performance computing (HPC) clusters enhances large-scale efficiency across global operations.
Aniello combines a strong mathematical background with deep engineering expertise, translating AI research into scalable, high-impact enterprise solutions that advance digital transformation.
Main expertise
- Python 7 years

- Jupyter 5 years
- Data Modeling 5 years
Other skills
- Azure 3 years
- Azure Blob storage 3 years
- Azure Queue 3 years

Selected experience
Employment
Senior Data Analyst – ML & LLM Tooling
BP - 2 years 6 months
- Designed and deployed LLM-powered document classification pipelines, reducing manual review time by 60% and saving over £500K annually.
- Developed FastAPI-based microservices to support secure and scalable ML workflows.
- Built real-time NLP pipelines on Azure and AWS with 99.9% uptime for operational analytics.
- Introduced CI/CD automation and test-driven development across ML pipelines.
- Collaborated with research and modeling teams to transform prototypes into production-ready solutions.
Technologies:
- Technologies:
Databricks
- Microservices
Python
Azure
Azure Blob storage
Azure Queue
- Prototyping
Grafana
NumPy
Pandas
Scikit-learn
Azure ML
- NLP
Machine Learning
FastAPI
Large Language Models (LLM)
- Dell EMC HPC Solutions
- Pipeline optimization
PySpark
Jupyter
R&D Engineer – HPC Pipelines & Distributed Systems
BP - 2 years 6 months
- Designed and managed HPC pipelines for LLM benchmarking using Dask on distributed clusters.
- Optimized workload orchestration, reducing benchmark runtime by 50% across compute clusters.
- Contributed to internal HPC infrastructure libraries, enhancing experiment reproducibility and scalability.
- Supported research teams with computationally intensive AI experiments and pipeline automation.
Technologies:
- Technologies:
Bash
- Prototyping
- Data Science
Grafana
- Data Engineering
- Data Analytics
- Data Modeling
Dataflow
Large Language Models (LLM)
- Dell EMC HPC Solutions
- Data Quality
Technical Lead Developer – Predictive Analytics
BP - 5 years
- Built predictive maintenance systems that reduced equipment downtime by 40%, resulting in £1.8M in annual savings.
- Led an Agile team of five engineers, mentoring developers in TDD, CI/CD, and scalable system design.
- Delivered analytics dashboards and predictive pipelines deployed across 20+ global industrial sites.
Technologies:
- Technologies:
SQL
- Data Science
DevOps
- Topic Modelling
- Database Testing
Machine Learning
- Team Leading
- Fact Data Modeling
Dataflow
- Data Quality
Fullstack Developer
FDM Group - 5 years 8 months
- Developed REST APIs and backend microservices in Java, integrated with SQL databases.
- Participated in a structured training program covering software engineering, Agile, and CI/CD practices.
- Supported internal reporting systems using Power BI, VBA, and SQL.
- Delivered backend features for enterprise clients in the financial and public sectors.
Technologies:
- Technologies:
MySQL
Java
Spring Boot
SQL
Bash
Microsoft Power BI
Linux
VBA
Microsoft Excel
Education
MSc.Quantitative Finance
University of Bologna · 2014 - 2017
BSc.Mathematics, Statistics and Probability
La Sapienza · 2011 - 2014
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