About Anuj
Built data infrastructure at AWS.
Now building it for you.
I'm a data engineer and cloud architect with over 10 years of hands-on experience designing and building production data systems. Most of that time was spent inside Amazon Web Services — in Premium Support, solving the hardest infrastructure problems for enterprise customers, and then as a Data Engineer building pipelines and AI agents at scale.
Now I work independently, bringing the same level of engineering to performance agencies and e-commerce brands — companies that need serious data infrastructure but don't need (or can't afford) a full-time senior data team.
What I bring to every engagement
Ex-AWS Premium Support & Data Engineering
Years inside AWS solving enterprise data infrastructure problems — then building production pipelines and GenAI agents as a Data Engineer. The combination is rare.
Your data stays in your AWS account
Everything I build lives inside your own AWS account. No third-party data warehouse vendors, no per-row fees, no vendor dependency. You own all of it.
End-to-end delivery — not consulting theatre
I design it, build it, test it, hand it over documented and running. Not a strategy deck. Not a requirements doc. A working system.
Worked with 25+ AWS enterprise customers
During my time in AWS Premium Support I consulted with dozens of enterprise customers on scalable data architectures — always translating complex technical solutions into business outcomes.
Career background
Data Engineer
Amazon Web Services
Dallas, Texas
- Developed AI agents using AWS Bedrock for competitive intelligence (50% research time reduction)
- Architected end-to-end analytics with real-time streaming pipelines: EventBridge, Kinesis, Glue, S3
- Led Amazon QuickSight administration — 50+ SQL datasets, 30+ dashboards
- Achieved 40% faster query performance in Redshift optimization
Cloud Engineer — Analytics
Amazon Web Services
Dallas, Texas
- Consulted with 25+ AWS Premium customers on scalable data architectures
- Resolved 650+ technical tickets for enterprise analytics customers
- Reduced escalations by 15% through root-cause analysis and systematic fixes
- Mentored 30+ new engineers — 40% reduction in onboarding time
M.S., Information Technology and Management
University of Texas at Dallas
Richardson, Texas
- Graduate specialization in data management, analytics, and information systems
- Built the technical and analytical foundation for a data engineering and cloud career
Business Data Analyst
Infosys Ltd.
India
- Prevented $8M loss through financial data analysis and early-warning reporting
- Led Tableau dashboard design — 40% reduction in manual reporting effort
- Achieved 99.9% accuracy in SAP MDM data preparation at scale
- Cut recurring incidents by 40% through process optimisation
Years in data & cloud engineering
Enterprise customers consulted at AWS
Loss prevented through data analysis
Typical pipeline efficiency improvement
Technical toolkit
AWS & Cloud
Data Engineering
AI & Analytics
Ready to build something?
Let's talk about your data stack and whether I'm the right fit.