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Jordan Wright

@jordanwright

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Senior Data Engineer with expertise in AI and data infrastructure.

United States

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What I'm looking for

I seek a role that fosters innovation and collaboration, allowing me to leverage my data engineering and machine learning skills to drive impactful solutions in a dynamic environment.

I am a Senior Data Engineer and Data Scientist with over 10 years of experience in designing high-performance data infrastructure and AI/ML systems across various domains, including healthcare analytics and financial data processing. My expertise lies in distributed computing, data pipeline design, and workflow orchestration, utilizing tools such as Apache Spark, Kafka, and Airflow to implement scalable data processing frameworks.

Throughout my career, I have developed a strong proficiency in Python, R, Scala, and SQL, alongside modern cloud platforms like AWS and GCP. I specialize in machine learning system design, including NLP pipelines and model serving, and have successfully engineered modular ML pipelines and ETL workflows that support real-time and batch processing systems. My commitment to data modeling, feature extraction, and reproducibility ensures that I deliver high-quality, reliable data solutions.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer (AI & ML)

Current

Flatiron Health, Inc.

Oct 2021 - Present (3 years 10 months)

Designed and maintained ETL/ELT pipelines using Apache Spark (Scala/Python) on Databricks, standardizing oncology EHR and lab data from systems. Engineered modular ML pipelines using PyTorch Lightning, TensorFlow/Keras, and Hugging Face Transformers for extracting high-dimensional oncology phenotypes from unstructured clinical text.

Data Scientist (Healthcare & Financial AI)

Bain & Company

Nov 2017 - Present (7 years 9 months)

Designed and deployed ML pipelines using Python, scikit-learn, and TensorFlow for healthcare and financial clients to forecast risk scores, patient churn, and fraud likelihood across multimodal datasets. Engineered NLP models to extract features from unstructured clinical notes and financial documents using spaCy, Transformers, and custom entity recognition pipelines.

Python scikit learn TensorFlow Google Cloud Dataflow BigQuery NLP SpaCy Transformers Dash Plotly REST APIs Django Amazon SageMaker Generative AI LLMs)HIPAA)SOC2 Gitlab Terraform Kubernetes CI CD

Data Engineer (Big Data Systems)

Verisk Analytics

Feb 2015 - Present (10 years 6 months)

Migrated legacy ETL frameworks to run on distributed compute infrastructure, improving scalability, fault tolerance, and reducing job latency. Developed and deployed Python-based microservices using Flask, exposing fraud detection and underwriting risk scores via RESTful APIs.

ETL Distributed Computing Python Flask RESTful APIs MapReduce Hive Hadoop Data Ingestion

Education

Degrees, certifications, and relevant coursework

Texas Tech University

Master of Science, Computer Software Engineering

Completed a Master of Science in Computer Software Engineering, focusing on advanced topics in software development and engineering principles. Gained expertise in designing and implementing complex software systems.

Texas Tech University

Bachelor of Science, Computer Science

Obtained a Bachelor of Science in Computer Science, building a strong foundation in computer science fundamentals. Developed skills in programming, algorithms, and data structures.