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sreemahn

Sreehari S

@sreemahn

Data Engineering AI Specialist

États-Unis
Anglais
Certaines informations sont présentées en anglais.
À propos de moi
I am an experienced Data Engineering and Analytics professional with over 7 years of experience designing enterprise-scale data platforms and AI-driven systems. I specialize in cloud data architecture using Microsoft Fabric, Azure, and Databricks to enable real-time analytics and intelligent decision-making. I am passionate about building scalable data systems and contributing to the broader community through research and mentorship.... Plus d’infos

Compétences

s
sreemahn
Sreehari S
hors ligne • 

Voir mes services

Conseil en ingénierie des données
I will audit and optimize your azure data factory and databricks data pipelines

Expérience professionnelle

Yum!_Brands

HR Integration Developer

Yum! Brands • Temps plein

Dec 2022 - Oct 20241 yr 10 mos

Developed enterprise-scale HR and payroll data platforms supporting global operations across 150+ countries. Designed data models and reporting solutions using Oracle BI Publisher and OTBI. Managed end-to-end integration workflows for HCM systems and automated reporting using IBM DataStage. Implemented AI-driven HR automation using Oracle Digital Assistant.

Tata_Consultancy Services

Consultant

Tata Consultancy Services • Temps plein

Jul 2019 - Aug 20212 yrs 1 mo

Provided consultancy services for enterprise-scale platforms. Focused on software engineering principles and data-driven solutions to support global internal systems and employee-facing applications, ensuring high availability and performance for critical business operations.

American_Express

Software Engineer

American Express • Temps plein

Jul 2019 - Aug 20212 yrs 1 mo

Developed Spring Boot-based microservices and REST APIs for the Colleague 360 platform. Led modernization efforts for Global Account Receivables APIs and migrated legacy logging to the Enterprise Logging Framework. Implemented distributed tracing and alerting using Splunk and Kibana to enhance real-time monitoring and incident response.