Sahil Bansal

Software Engineer

Gurugram, Haryana, India3 yrs 3 mos experience

Key Highlights

4-star coder on CodeChef with 1890+ rating
Improved operational KPIs by 15% through incentive plans
Ensured 99.9% data accuracy in incentive calculations

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS industry, specializing in event-driven architecture.

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Skills

Core Skills

JavaSpring Boot

Other Skills

C++Customer ServiceData StructuresDesign PatternsGoogle Pub/SubLeadershipLow-Level DesignMongoDBObject-Oriented Programming (OOP)PostgreSQLRabbitMQRedisSalesSnowflakeStrategy

About

I’m Sahil Bansal, a Software Engineer with strong problem-solving skills and a deep understanding of Data Structures and Algorithms. I’m a 4-star (1890+) coder on CodeChef, a Specialist (1440+) on Codeforces, and a Knight (1960+) on LeetCode. I hold a B.Tech degree from ABES Engineering College (2022) with a CGPA of 8.4. Currently, I’m working as a Software Engineer at Cars24, where I’ve developed and maintained an incentive management portal used by over 250 Procurement Associates, My work involves leveraging technologies like Java, Spring Boot, Kafka, Redis, MySQL, and Snowflake to build scalable, event-driven systems. Key highlights of my work include: • Streamlined incentive calculation and distribution by designing monthly incentive plans, improving operational KPIs by 15%. • Built real-time, event-driven processes using a Pub/Sub architecture, reducing processing time by 30%. • Ensured high data accuracy (99.9%) through robust data integration and pipeline management. • Collaborated cross-functionally with data engineering and product teams to enhance delivery timelines by 20%. I’m passionate about backend development, system design, and building impactful, scalable solutions that drive business outcomes.

Experience

Cars24

Software Engineer

Mar 2025 – Present · 1 yr · Gurugram, Haryana, India · On-site

Incentive Management Platform
Java | Spring Boot | Google Pub/Sub | GCS | Snowflake | MongoDB | PostgreSQL | Event-Driven Architecture
Building an event-driven Incentive Management Platform for automobile dealership sales teams (PA/RM) to automate monthly incentive calculation and payouts.
Implemented user-to-scheme mapping, scheme configuration, rule engine logic, and publishing workflow for activating new incentive schemes.
Integrated Google Pub/Sub for asynchronous communication and event-driven data flow.
Built a transformation layer that fetches performance data from Snowflake, enriches it, and stores it in Google Cloud Storage (GCS) before triggering downstream processing.
Consumed GCS upload notifications via Pub/Sub, transformed them into domain events, and passed them to an orchestrator for reward calculation.
Persisted incentive computation results into MongoDB for reporting and auditing, while using PostgreSQL for transactional and reference data (user, scheme, mappings).
Designed the month-end ledger closing process to finalize incentives and prepare payout-ready summary data.