Neeraj Dubey

About Neeraj Dubey

I am a delivery lead and solution architect at NYU Langone Health, where I lead the end-to-end delivery of data engineering projects on Azure Databricks. I have over 18 years of experience in data management, analytics, technical program management, and solution architecture, with a focus on the healthcare and banking domains. As a certified PMP, TOGAF, and AWS Cloud Practitioner, I bring a combination of technical expertise, strategic vision, and business acumen to my role. I have successfully implemented enterprise data warehouse and data lake programs with large and global teams. I have created strategy, roadmaps and solutions architecture for end to end data and analytics platform and help customers transition from legacy data warehouse to modern data platform, enabling digital transformation and value creation for my clients. I am passionate about delivering data-driven insights and solutions that improve healthcare outcomes and customer satisfaction.Leadership: Built and led high-performing data teams, fostering collaboration and innovation. Technical Expertise: Deep knowledge of Big Data, BI, Lakehouse, and modern integration technologies including cloud platforms like Databricks and SnowflakeBusiness Acumen: Align data initiatives with business goals, translating insights into actionable strategies. Communication: Effectively communicate complex technical concepts to both technical and non-technical audiences. Change Management: Navigate organizational changes and drive adoption of new technologies and processes.Key Highlights- Technical Program Management - Solution Architecture - Data Management Strategy, Data Integration, ETL Strategy, BI, Analytics, Digital Transformation - Source System Analysis, Data Analysis, Data Mining- Data Governance, Data Quality, Metadata Management - DWBI Testing Strategy, Test Planning, and Test Execution- Client Relationship, Pre-Sales, Resource Management - HealthCare

Experience

1. Senior Manager Data Engineering Data Analytics

   NYU Langone Health

   Jun 2021 — Present · New York, NY, US

   Responsible for all data engineering initiatives on Azure Databricks and on-prem Cloudera platform• Created strategy for setting up cloud data platform and roadmap for migration of the on-prem data lake platform to Azure on Databricks• Responsible for migration of the on-prem data lake platform to cloud• Planned and Implemented cloud migration of data governance and reference data management tool Collibra• Planned and Implemented migration of Big Data platform from Cloudera CDX to Cloudera Data Platform• Responsible for planning, forecasting, budgeting, and requirement’s analysis for all projects on the data lake platform• Responsible for data architecture and solution architecture for all data ingestion and data consumption• Defined infrastructure requirement/sizing for efficient extraction, transformation, and loading of data from a wide variety of data sources (Flat Files, JSON, XML, Database, Cloud APIs)• Managed, guided, and provided thought leadership to the onsite and offshore team comprising of Bigdata administrator, Data Engineers, and Data Analyst• Designed and implemented optimized solutions for data ingestion, data processing, data wrangling, and data delivery.• Implemented data pipeline for ingesting data from Hadoop into AWS using S3, AWS Glue, and Redshift• Identified, designed, and implemented internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.• Lead master data management, reference data management, data quality, and data governance initiatives using Informatica Master Data Management and Collibra• Coordinate with multiple cross-functional cross-functional infrastructure and offsite/offshore teams.• Led the operational support for data ingestion and engineering, including job monitoring, issue resolution, and user support.

Education

• University of Illinois Urbana-Champaign

  Master of Business Administration - MBA

• Nagpur University

  B.Tech, Computer Science

Skills

• Software Development Life Cycle (Sdlc)
• Dimensional Modeling
• Business Intelligence
• Extract, Transform, Load (Etl)
• Software Project Management
• Technical Project Leadership
• Agile & Waterfall Methodologies
• Databases
• Business Analysis
• Requirements Gathering
• Teradata
• Program Management
• Data Integration
• Sas Base
• Pre-Sales
• Etl
• Sdlc
• Solution Architecture
• Pl/Sql
• Data Warehouse Architecture
• Project Planning
• Data Analysis
• Project Management
• Data Warehousing
• Oracle Developer 2000
• Technical Project Delivery
• Tableau
• Sql
• Oracle
• Requirements Analysis
• Informatica