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Eric James Mooney

@ericjamesmooney

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Senior Data Engineer focused on ML-driven, scalable data platforms and real-time analytics.

United States

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What I'm looking for

I seek senior-level roles building production ML/data platforms where I can lead scalable pipeline design, ensure governance and compliance, mentor teams, and deliver measurable business and clinical impact.

I am a Senior Data Engineer with over 10 years of experience building scalable, AI-driven data solutions across healthcare, finance, and insurance. I design and implement end-to-end data pipelines, real-time processing systems, and enterprise analytics platforms using tools like Python, Scala, Apache Spark, Databricks, TensorFlow, and PyTorch to accelerate decision-making and improve clinical and business outcomes.

I have delivered measurable results including a cloud analytics solution that cut processing costs by 30%, a predictive model that improved forecast accuracy by 25% and saved $500K annually, and production feature stores serving over 20M features/month. I prioritize data governance, observability, and compliance (GDPR/HIPAA), mentor engineers, and integrate advanced ML (NLP, CV, RAG/LLMs) into production pipelines to drive tangible value.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Sword Health

Oct 2020 - Aug 2025 (4 years 10 months)

Led development of a scalable big data platform processing 100TB/day, implemented Databricks PySpark ETL and Delta Lake to improve reliability, and integrated ML pipelines that increased predictive accuracy by 25% while reducing costs 30%.

Pyspark Databricks Delta Lake Python Feast Redis Data Pipelines OpenMetadata Great Expectations

Mid-Level Data Engineer

Capital One

Jun 2018 - Sep 2020 (2 years 3 months)

Built real-time and batch pipelines processing 1.5B transactions/day using Kafka and Kinesis, reduced fraud false positives 18%, migrated SAS models to SparkML cutting deployment cycles from 3 weeks to 3 days.

Python SQL Kafka AWS Kinesis SparkML Sagemaker Snowflake Airflow Hadoop

Data Engineer

Bazaarvoice

Aug 2016 - May 2018 (1 year 9 months)

Designed batch and streaming pipelines with Apache Beam/Dataflow for NLP sentiment analysis on 500M reviews/year, improved query performance 35% and increased client on-site engagement 12% via feature pipelines.