Udit Singh
I’m a Full Stack Developer who enjoys turning complex business needs into reliable, measurable software—especially where finance data, automation, and data quality matter.
About
I’m a Full Stack Developer who enjoys turning complex business needs into reliable, measurable software—especially where finance data, automation, and data quality matter. In my recent role, I built an internal finance analytics platform that consolidates Revenue, Gross Margin, EBITDA, and P&L reporting across multiple business segments, along with modules for receivables, collections, and accrual tracking.
I also work on production-grade platforms that require careful safeguards and dependable delivery: implementing role-based PII masking without allowing masked data to be written back, and delivering end-to-end notification systems with automated alerts. Earlier, I focused on performance and stability by speeding up critical reporting queries, fixing defects through systematic debugging and validation, and creating reusable ETL-style reporting workflows using Node.js and PostgreSQL.
- 1 year's experience
- Joined October 2026
Skills· 15
Languages
- EnglishFluent
- HindiFluent
Industry experience
- Software & Internet
- Financial Services
- Professional Services
Work experience
Engineered a ledger analysis and finance analytics platform to consolidate Revenue, gross margin, EBITDA, and P&L reporting across eight business segments using Angular, Node.js, and MySQL. Built receivables, collections, and accrual tracking modules with scheduled data-sync jobs and Excel reporting for finance teams. Resolved a ₹7L revenue mismatch by standardizing segment filters across multiple reporting functions. Designed role-based PII masking for Bajaj Finance’s live LOS/LMS platform and added safeguards to prevent masked data from being written back to the database. Delivered an end-to-end LOS/LMS notification system for Hyundai Capital India with 18+ automated email and in-app alerts, and fixed silent delivery failures.
Improved a critical reporting query from 3 seconds to 500 milliseconds by applying indexing, query refactoring, and execution-plan analysis. Resolved 20+ application and data defects through systematic debugging, source-data validation, and backend logic fixes. Automated recurring business reporting workflows with reusable Node.js and PostgreSQL modules covering extraction, validation, and transformation.
Education
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