Soraj Kandari

Software Engineer

Mumbai, Maharashtra, India3 yrs 7 mos experience

Highly Stable

Key Highlights

Architected real-time Clickstream Logs processing.
Migrated critical business processes to Golang.
Enhanced performance using modern cloud infrastructure.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

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Skills

Core Skills

Data EngineeringMicroservices

Other Skills

AlgorithmsAmazon Web Services (AWS)Apache KafkaBigQueryC (Programming Language)C++Data StructuresDataprocDocker ProductsETL ToolsGKEGolangGoogle Cloud Platform (GCP)Google Cloud StorageGrafana

About

We've revolutionized user activity tracking by architecting real-time Clickstream Logs, processing approximately 50K messages per second using robust Golang microservices on Google Kubernetes Engine. My academic journey culminated with a Master of Technology in Data Engineering from the Indian Institute Of Information Technology, where I honed my technical proficiencies in Python and machine learning, which are now pivotal to my role. My commitment to innovation drove the migration of critical business processes to Golang, enhancing performance and efficiency by leveraging modern cloud infrastructure like Kafka and GKE. These competencies reflect my dedication to advancing the field of data engineering, consistently aiming to optimize operations and deliver scalable solutions in a leading e-commerce platform.

Experience

Kissht

SDE 2

Aug 2025 – Present · 7 mos

Indiamart intermesh limited

Software Engineer

Jun 2022 – Jun 2025 · 3 yrs · Noida, Uttar Pradesh, India

ETL & Data Modernization
Built a Delta Lake ETL pipeline to migrate PostgreSQL data to Google Cloud Storage, enabling BigQuery and Dataproc integration. Modular schema design boosted query speed by 30% and scalability. Added a Kafka-GCP event-driven pipeline for Clickstream Logs, processing 50K messages/sec for user analytics.
API & Cloud Systems
Developed a GoLang API with PostgreSQL pooling, reducing latency by 94% and database connections by 85%. Deployed GoLang Kafka consumers for 3M+ daily lead events, and modernized legacy systems to GKE/Kafka, cutting memory use by 97% (315MB→9.5MB) with autoscaling.
Codebase Refactoring
Restructured a 50k-LoC monolith into modular components using SOLID principles, enhancing maintainability and scalability. Rigorous testing reduced technical debt, enabling seamless feature integration.

ETL ToolsPostgreSQLGoogle Cloud StorageBigQueryDataprocKafka+7