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Data Science | Pharmaceutical

Johnson & Johnson Data Automation and Integration

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Client:
Johnson & Johnson
Location:
New Jersey

Overview

Consulting Solutions facilitated meetings between clients and personnel, ensuring timely task completion. The program focused on leveraging AWS infrastructure, Python automation, Nexla ETL, S# Storage, Git version control, and API integration to streamline operations and drive efficiency. This enabled scalable computing resources, automated tasks, data integration, collaboration, and integrations with external systems.

Challenges

Challenges involved automating data delivery to Tableau from API endpoints and S3, necessitating intricate coordination and technical finesse. Managing multiple cross functional teams with distinct objectives demanded communication and project management. Additionally, infrastructure provisioning complexities, such as configuring EKS clusters and auto-scaling nodes, required careful balancing of workload dynamics and resource optimization.

Solution/Deployment

Consulting Solutions delivered skilled professional across multiple domains. Their project management support ensured efficient coordination of timelines, resources, and deliverables, maintaining alignment with program objectives. Additionally, they managed SOW, ensuring clarity and compliance in contractual agreements.

Results

Automating data delivery to Tableau from API endpoints and S3 streamlined processes, boosting efficiency and accuracy. Efficiently managing cross-functional teams optimized resource utilization and fostered synergy. Implementing auto-scaling withing AWS infrastructure ensured cost-effectiveness and scalability.

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