Naresh Dulam

Vice President of Software Engineering at JPMorgan Chase & Co. USA
📚 Vice President of Software Engineering | McKinney, Texas, United States
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👤 About

Skills & Expertise

AWS Distributed Systems

Research Interests

datascience Artificial Intelligence Software Engineering Data Engineering

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💼 Experience

Vice President of Software Engineering

JPMorgan Chase & Co. USA · October 2019 - Present
  • Built WM Risk & Control Analytics is next gen data platform, Controls Data as Product from ground up to replace legacy data warehouse system, and Hadoop as part of modernization with seamless user experience for 1500+ business users. This helps the organization to reduce vendor license and consulting costs. With Data mesh architecture of New Data Analytics platform built on Data mesh principles reduce the storage cost, no duplication of data and with open-source cloud native technologies. o Envisioned, Architected, and operationalized the WM Data Analytics Hybrid Platform to run the MIS Reporting, data science and analytical usage for Private Bank. o Data lake with capacity of 1.5 PB supporting more than 2000 users on-prem (PB/IPB Data) and Cloud Data Lake for Market/Index data serving 200+ data scientists for AI/ML Use cases. o Designed and built a generic data ingestion pipeline framework, which helped in quicker data onboarding on to the platform. o Architected the design pattern for self-serve for both ingestion and consumption. This design pattern was made a standard for other technology teams, thus reducing build time for multiple teams across lines of businesses. JPMC Advanced Data Ecosystem is a firm wide public cloud -based data platform comprised of reusable components required by LOBs to establish and machine learnable datasets to the public cloud – making it available for AI/ML, analytics, BI Use cases. As part of cloud migrations all the app teams are required to build the cloud pipelines which is duplication of work. A framework required which adheres to JPMC security standards. o Architect/Develop the cloud pipelines for LOB to use the same pipelines in their cloud migration journey. o Responsible for building containerized applications for both data ingestion to cloud and transformation. Migrating the existing containerized application running in private cloud to public cloud AWS (Use case Airflow with OIDC Authentication)

🎓 Education

Jawaharlal Nehru Technological University Hyderabad

B.Tech in Computer Science & Engineering · 2010
Description (between 50 and 1500 characters)

📖 Role in Research Journals (2)

Reviewer
Journal: Optimizing Cloud Data Solutions to Transition Legacy Systems: Insights into Global Team Management and Technological Change Leadership || Publisher Name:
Reviewer
Journal: Developing Technology Strategies for Effective Leadership: Leveraging Data Analytics and Machine Learning to Drive Business Transformation and Innovation || Publisher Name:
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