Open to opportunities

NEEV jAY

@neevjay

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Senior Data Engineer driving scalable lakehouse and GenAI solutions to accelerate clinical research and compliance.

United States

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What I'm looking for

I seek technical leadership roles building compliant, scalable data platforms and GenAI products, with mentorship, cross-functional collaboration, and measurable impact.

I am a Senior Data Engineer with 10+ years building scalable data platforms, lakehouse architectures, and AI/ML-powered pipelines across pharmaceutical and HCM domains. I lead enterprise modernization initiatives (Databricks, Snowflake, AWS, Azure), deliver GenAI solutions that cut report and analysis time dramatically, and ensure GxP/FDA-compliant integrations after acquisitions.

I have hands-on experience architecting Databricks lakehouses, Terraform-driven CI/CD, and production ML pipelines, and I mentor engineering teams to improve reliability and deployment velocity. My work has produced measurable outcomes—70% faster clinical reporting, 300% ETL throughput gains, and robust audit readiness—while shaping multi-million-dollar modernization roadmaps.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Merck

Jan 2023 - Present (3 years)

Led development of a GenAI lakehouse platform (GPTeal) integrating Databricks Delta Lake, vector stores, and LLM APIs to cut clinical report creation time by 70% and save 100+ hours/month; drove AI-driven natural-language-to-SQL tooling and automated CI/CD to increase deployment velocity 50%.

Databricks Delta Lake AWS Azure Terraform Spark LLM CI CD

Database Engineer

Merck

Jul 2019 - Jan 2023 (3 years 6 months)

Architected the MANTIS manufacturing data lake on AWS (S3, Glue, Redshift), unifying 100+ systems to deliver 3× query performance and 50% lower compute cost; built high-throughput Glue/Spark pipelines increasing ETL throughput 300% and implemented real-time defect detection reducing false rejects 50%.

AWS S3 AWS Glue Redshift Spark Kinesis Sagemaker ETL Data Lineage

Database Engineer

ADP

Sep 2014 - Jul 2019 (4 years 10 months)

Designed and scaled DataCloud ETL pipelines processing data from 90K clients and 30M+ employees, productionized ML features to reduce model execution time 60%, and modeled HR/payroll data into datamarts that cut query latency 70% enabling sub-second analytics.

SQL Python Spark Oracle SQL Server ETL Data Modeling Data Warehousing

Education

Degrees, certifications, and relevant coursework

Rutgers University-New Brunswick

Bachelor of Science, Information Technology

2010 - 2014

Completed a Bachelor of Science in Information Technology, focusing on data systems and analytics applicable to enterprise engineering and data platforms.