Aditi Sinha

Backend Engineer

Bengaluru, Karnataka, India6 yrs 10 mos experience

Highly Stable

Key Highlights

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in system reliability and performance optimization.

Backend EngineeringPayments & BillingSoftware TestingSystem ReliabilityUser ExperienceMobile Development

Apache KafkaCore JavaJooQBillingPaymentsKarateRabbitMQAPIsAWSPostgreSQLMongoDBObject-Oriented Programming (OOP)FlutterBlockchainFire base

6 yrs 10 mos

Total Experience

3 yrs 1 mo

Average Tenure

9 mos

Current Experience

Sep 2025 – Present · 9 mos · Bangalore · On-site

Billing • Payments • Trasactions
▪️Led migration of legacy stored procedures to JooQ, boosting billing system performance by ~30% and improving data accuracy across financial transactions.
▪️Enhanced billing reliability and revenue integrity by resolving critical bugs, ensuring seamless processing of millions of transactions monthly.
▪️Developed a regression suite using Karate, automating 90% of test cases and reducing manual QA effort by over 40%, accelerating release cycles.
▪️Migrated 80–90% of legacy stored procedures to jOOQ.
▪️Refactored core messaging flow by replacing 3 RabbitMQ–based integrations with direct APIs, increasing system reliability by ~30% and reducing latency.

Apache KafkaCore JavaBackend EngineeringPayments & Billing

2 roles

Promoted

Sep 2022 – Oct 2025 · 3 yrs 1 mo

👉🏻Deployed advanced trigger date functionality, day-mask, holiday check, and message throttling, enhancing system
reliability by 30% and decreasing message delivery failures by 50%.
Devised and integrated a preview messages feature, enhancing campaign accuracy and reducing errors by 15%.
Piloted and conducted regression testing framework resulting in a 45% boost in test coverage and decreased
overall system downtime by 20%; executed 30+ test scripts weekly.
Authored email alerts in Campaign Manager, optimizing workflow efficiency by 20%.
Revamped List View in Campaign Manager with enhanced filtering, sorting, and search, resulting in a 30%
increase in data management efficiency.
Developed the Backstage Service Catalog to enhance service visibility across zones.
Integrated AWS CloudWatch alarms with SNS and Lambda, resulting in a 30% improvement in alerting efficiency.
Improved auto-refresh in Campaign Manager UI to ensure real-time data updates and improve user experience.
Designed JSON Schema validation with Everit and metrics/logging to enforce API contracts and catch payload
issues early in CI/CD.
Streamlined database schema migrations for automated version control, reducing deployment errors and ensuring
consistency across development, staging, and production environments.
Implemented automated alerts based on key PostgreSQL metrics, enabling a 5-member on-call team to address
performance bottlenecks within 15 minutes, reducing potential service disruptions by 40 percent