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Data Engineering, Data Architecture & AI Professional

Experienced Data Engineering, Data Management, and Governance professional with 10+ years of experience in enterprise data platforms and 4+…

Ramkumarchoudhary · 2026-07-05 07:34 · 0 claps · 0.9 min read
#data-architecture #machine-learning-python #agentic-ai-architecture #sre #aws-architecture
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Wiki topics: AGT · AI Agents ML · Machine Learning BIZ · Business Strategy EDU · Education & Learning ☁️ · DevOps & Cloud 🔧 · Data Engineering 🏛️ · Architecture

Data Engineering, Data Architecture & AI Professional

Experienced Data Engineering, Data Management, and Governance professional with 10+ years of experience in enterprise data platforms and 4+ years in the Pharmaceutical domain. Hands-on expertise in designing and implementing scalable Data Architecture, AWS Cloud Architecture, cloud modernization, and enterprise data solutions that enable business transformation and data-driven decision-making.

My experience spans data engineering, data integration, governance, analytics, and cloud-native architectures, with a strong focus on building secure, scalable, and high-performing data platforms. I have successfully led and delivered initiatives involving AWS services, data platform modernization, Site Reliability Engineering (SRE), and enterprise data governance.

Currently, I am expanding my expertise toward Large Language Models (LLMs) and Agentic AI, leveraging my strong foundation in data architecture and cloud technologies to build intelligent, AI-powered data solutions. My goal is to bridge enterprise data platforms with next-generation AI capabilities that enhance automation, decision intelligence, and business value.

Core Skills: Data Architecture • AWS Cloud Architecture • Data Engineering • Data Management & Governance • Cloud Modernization • LLMs • Agentic AI • Data Analytics • SRE Implementation • Enterprise Data Platforms • Pharma Data Solutions • Solution Design • Stakeholder Management

I bring a blend of strategic thinking, hands-on technical expertise, and leadership experience to design modern, scalable, and AI-ready data ecosystems that align technology with business objectives.


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