Looking for a job

Nicholas Graziano

@nicholasgraziano

Principal Data Scientist at Pratt & Whitney, building Databricks data pipelines to analyze engine durability and fleet reliability.

United States

Message

At Pratt & Whitney, I design Databricks ETL pipelines with PySpark to bring structured and unstructured supplier data into a unified data lake. I also translate user requests into technical requirements and improve legacy data processes.

Previously, I developed Python analytics codebases to assess hot section durability using fleet, environmental, and manufacturing data. Those models informed maintenance contract formulation and financial risk assessment; earlier, I built engineering automation tools in MATLAB, C, Python, and VBA.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Scientist | Architecture & Analytics | Engineering Support to Ope

Current

Pratt & Whitney

Apr 2026 - Present (5 months)

- Coordinated across internal customer groups, enterprise IT, and supplier technical leads to streamline technical support channels, eliminate operational friction, and establish resilient data delivery pipelines.
- Synthesized informal user requests into fully formed technical requirements, designing scalable data infrastructure and analytical solutions while auditing and refactoring fragile lega

SQL ETL Data Analysis Python Pandas NumPy PySpark Technical Requirements Gathering Cross functional Leadership GitHub Git Process Automation Data Engineering Data Pipelines Data Science Object Oriented Programming Azure Databricks Repository Management

Principal Data Scientist | Durability Analytics | Hot Section Engineering

Pratt & Whitney

Aug 2024 - Apr 2026 (1 year 8 months)

- Served as the primary technical liaison, supporting internal program integrators while partnering with cross-organizational analytics groups to align data strategies and advance commercial engine program milestones.
- Drove team-wide process improvements, establishing standardized coding guidelines, shared repository architectures, and data governance protocols to yield dependable, repeatable an

SQL Data Analysis Python Pandas NumPy PySpark Cross functional Leadership GitHub Git Process Automation Data Engineering Data Pipelines Data Science Object Oriented Programming Azure Databricks Repository Management

Senior Data Scientist | Durability Analytics | Hot Section Engineering

Pratt & Whitney

Sep 2023 - Aug 2024 (11 months)

- Identified and integrated disparate data streams, including flight parameters, environmental conditions, manufacturing variation, and post-run hardware analysis, to describe real-world fleet utilization and health.
- Designed, developed, and maintained custom end-to-end Python analytics codebases to process complex fleet datasets and evaluate hot section component durability.
- Delivered updated

SQL Data Analysis Python Pandas NumPy PySpark GitHub Git Process Automation Data Engineering Data Pipelines Data Science Object Oriented Programming Azure Databricks Repository Management

Senior Software Engineer | Tools and Methods | Hot Section Engineering

Pratt & Whitney

Sep 2022 - Sep 2023 (1 year)

- Implemented and optimized features within a mature Java codebase using object-oriented design patterns to streamline physics-based modeling and analysis tasks.
- Collaborated within an Agile framework to deliver rapid, iterative software updates, engaging with CAD end-users to continuously refine tools and align features with functional requirements.

Software Development Python Agile Java GitHub NXOpen Git Process Automation Object Oriented Programming Repository Management

Engineer-Senior Engineer | Structures | Compression Systems Engineering

Pratt & Whitney

Mar 2016 - Sep 2022 (6 years 6 months)

- Performed structural and modal analyses to optimize airfoils and interstage seals for combined static and dynamic loading in support of successful clearance of preliminary and detailed design reviews.
- Supported validation testing for multiple engine programs through pretest predictions, on-stand coverage, and post-test data reduction, ensuring structural test requirements were satisfied while

Python C Pandas NumPy Matlab Process Automation ANSYS APDL Siemens NX Ansys

Graduate Research Assistant

Universal Instruments Corporation

Sep 2013 - May 2015 (1 year 8 months)

- Executed assembly process development for surface mount electronics and conducted failure analysis using X-ray imaging, optical microscopy, and metallographic cross-sectioning.
- Authored technical reports and delivered presentations based on research to industry stakeholders through the Advanced Research in Electronic Assemblies (AREA) Consortium.

ANSYS APDL Metallographic Cross Sectioning Ansys