Merging Data Engineering, Web Development, and Business Intelligence to build scalable data products.
I am not just an analyst who reports numbers. I am a builder. My background spans SQL Backend Development, Frontend Engineering, and Data Architecture.
I build my own tools. Whether it's coding a React application to showcase insights, architecting middleware to bypass API limits, or parsing JSON in SQL—I solve infrastructure problems so the business can focus on decisions.
- 🔭 Current Focus: Automating reporting infrastructures using Python & GCP.
- ⚛️ Web Tech: Building data applications with React (Vite + TypeScript) & Tailwind.
- 💡 Key Win: Reduced reporting manual work by ~80% via automated pipelines.
| Project | Tech Stack | Business Problem Solved |
|---|---|---|
| Secure Power BI Middleware | Apps Script REST API Power Query |
Problem: API Rate Limits (429 Errors) crashing reports. Solution: Architected a custom token-bucket middleware ensuring 100% refresh reliability. |
| Production Analytics Portfolio | React TypeScript Vite Google Analytics |
Problem: Static PDF portfolios don't show coding skills. Solution: Built a SEO-optimized Single Page Application (SPA) with live analytics tracking. |
| Executive Financial Suite | Figma DAX Star Schema |
Problem: Executives overwhelmed by operational data. Solution: Designed a "SaaS-style" dark-mode dashboard with Profit Waterfalls and Revenue Attribution. |
| Data Engineering & Science |
|
| Database & SQL |
|
| Web & Visualization |
|
Aug 2025 – Present
- End-to-End Automation: Designed automated data pipelines to refresh reports, eliminating manual effort and reducing recurring reporting work by ~80%.
- Middleware Architecture: Built secure token-based middleware to fix API rate limits.
- Advanced Modeling: modeled structured datasets using relational and semi-star schemas to support scalable KPI tracking.
Mar 2025 – Present
- Full-Stack Development: Built a multi-page analytics portfolio using React (Vite + TypeScript) and Tailwind CSS for optimized routing and clean UI/UX.
- SEO & Analytics: Integrated Google Analytics and Search Console to monitor traffic; achieved 60+ sessions in the first month from global users (India, US, Israel).
Mar 2025 – Jun 2025
- Backend Optimization: Debugged and modified PL/SQL Stored Procedures used by backend services, reducing query execution time significantly.
- Data Validation: Parsed complex JSON payloads within SQL workflows to validate data integrity before deployment.
Nov 2024 – Feb 2025
- ROI Impact: Analyzed logistics and fulfillment costs to identify inefficiencies, improving Logistics ROI by ~10%.
- Operational Efficiency: Automated daily review pipelines using scripting, reducing processing time from 30 minutes to ~2 minutes (93% efficiency gain).
- Cost Reduction: Built dashboards that reduced Return-to-Origin (RTO) by 2–3% and increased delivery rates by 4–5%.