Divij Sharma

Software Engineer

Ghaziabad, Uttar Pradesh, India5 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Designed scalable systems handling millions of transactions.
Reduced processing time and latency significantly.
Architected robust solutions improving user experience.

Stackforce AI infers this person is a Backend-focused Software Engineer in Fintech and E-commerce sectors.

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Skills

Core Skills

JavaSpring BootKafkaPrometheusInvoicing SystemUser ExperienceData Validation

Other Skills

AWS GlueAirflowAlgorithmsAmazon RedshiftAmazon Web Services (AWS)Analytics ReportsApache KafkaApache SparkBig DataChrome ExtensionComputational MathematicsComputer ScienceData StructuresDatabase Management System (DBMS)Discrete Mathematics

Experience

5 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 2 mos

Current Experience

Mobikwik

Software Engineer

Apr 2024 – Present · 2 yrs 2 mos · Gurugram, Haryana, India · On-site

Subscription Engine: Designed and implemented a scalable subscription system.Integrated the subscription system with the payout engine, ensuring scale over 70k merchants. Managed the payout process for over 1.5M transactions daily with optimized and timely payouts.Ensured high availability, scalability, and performance to handle peak loads efficiently Used Java, Spring Boot, Kafka, and MySQL to build a robust backend capable of handling high-volume transactions
Payout Revamp: Redesigned and developed a comprehensive payout system, transitioning from cron-based to real-time, event-driven architecture using Airflow, reducing payout latency by 45% , ensuring near-instant payouts.Integrated Kafka, leading to a 30% reduction in transaction processing time and improving merchant experience with faster, more reliable payouts for over 10k merchants.Scaled the system to handle over 0.5M daily transactions, achieving 99.95% uptime.Enhanced monitoring with Prometheus and New Relic, resulting in faster issue resolution

JavaSpring BootKafkaMySQLPrometheusNew Relic

Limeroad.com

SDE1

Jul 2023 – Feb 2024 · 7 mos · Gurugram, Haryana, India · Hybrid

Invoicing Model Redesign: Developed and managed a comprehensive invoicing system for both customers and vendors, handling over 1k vendors and 500k customers.Implemented real-time commission charge calculations, reducing invoicing errors by 40% and improving transparency on the Limeroad seller portal.Optimized the system’s performance, resulting in a 50% reduction in invoice generation latency.Enhanced the system’s scalability to support increasing vendor
onboarding and customer transactions with minimal downtime.
Seller Portal: Architected and developed a robust seller portal for 1k vendors to upload, download, edit, and monitor product listings, improving the overall user experience and operational efficiency.Implemented advanced error reporting mechanisms for incorrect product uploads, resulting in a 60% reduction in vendor follow-ups (from 75% to 30%),
significantly improving vendor satisfaction and reducing support team workload.Optimized portal performance, improving product upload and download times by 35%, ensuring seamless scalability for increasing vendor transactions.

Invoicing SystemReal-time CalculationsPerformance Optimization

Publicis sapient

Associate Software Developer 2

Nov 2020 – Jul 2023 · 2 yrs 8 mos · Gurugram, Haryana, India

Notification Service: Architected and implemented a scalable notification service for client Albertsons to deliver data validation and analytics reports for terabytes of data ingested in Azure via Snowflake.Utilized SnowSight for advanced data visualization and integrated machine learning algorithms to enhance analytics and reporting capabilities, improving data-driven insights and operational efficiency.

Notification ServiceData ValidationAnalytics ReportsMachine Learning

Samsung r&d institute india - bangalore private limited

Summer Intern

May 2019 – Jul 2019 · 2 mos · Bangalore , India

Worked in web technology department.
Objective was to analyse the functionality breakages on the first party sites provided by the third party sites by selectively stripping the cookies.
Built a chrome extension using JavaScript to achieve this functionality and collected JSON data using Python file handling.
Worked on a use case of "disqus.com" and analysed the commenting functionality provided by it on first party "etherscan.io" .

Web TechnologyChrome ExtensionJavaScriptPython