I'm a Data Engineer passionate about architecting next-generation analytics platforms and AI-powered data solutions that don't just process data, they democratize it. My mission is to build production-grade systems that make sophisticated data accessible to everyone, from technical teams to business stakeholders.
With a Master's in Information Science & Technology from Missouri University of Science and Technology, I've evolved from database optimization to full-stack data engineering, specializing in Azure cloud ecosystems, real-time data pipelines, and AI automation. My work spans from enterprise-scale ETL orchestration to embedded analytics solutions that deliver intelligence directly where decisions are made.
I thrive at the intersection of rigorous data engineering and AI innovation, where:
- Scalable architectures meet real-time insights
- Traditional SQL mastery evolves into modern Python solutions
- Data pipelines become intelligent automation systems
I believe the most impactful projects are those that haven't been built yet—solutions that push boundaries and create new standards in the industry.
@ ExponentHR | Building enterprise HR data platforms with:
- 40% reduction in operational overhead through architectural optimization
- 20% performance gains via advanced SQL tuning and distributed processing
- 21x faster SDLC (3 months → 14 days) through CI/CD automation
- 99.99% uptime SLAs with robust production support systems
Published researcher in NLP and Sentiment Analysis, applying AI to extract actionable insights from unstructured data—bridging the gap between academic research and production systems.
Current Role: Data Engineer | Data Engineer at ExponentHR
- Designing full SDLC for scalable Reporting and Analytics data platforms
- Building CI/CD pipelines with Azure DevOps (reducing release cycles time from 3 months to 14 days)
- Optimizing ETL processes with SSIS and CDC (35% improvement in real-time syncing)
- Performance tuning SQL Server for enterprise-scale applications
Learning Journey:
- Advancing Python proficiency for production-level data engineering
- Exploring cutting-edge AI/ML integrations in data pipelines
- Building innovative projects that push industry boundaries
- LinkedIn: linkedin.com/in/narendranathe
- Email:
- GitHub: github.com/narendranathe
- Ask me about: Python, SQL, ETL/ELT, Azure Cloud, Spark, Power BI, Data Architecture, AI Automation
- All-time favorite movie: Batman Dark Knight
- Master's in Information Science & Technology (Missouri S&T)
- Published research on NLP & Sentiment Analysis for visitor insights
- Passionate about building high-achieving, market-disrupting projects
"Building scalable data systems that power intelligent decisions and AI innovation."