Saurabh Kumar Kaushal

Backend Engineer

Faizabad, Uttar Pradesh, India2 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Achieved eventual consistency in distributed systems.
Optimized BigQuery queries, reducing costs by 80%.
Designed scalable services for high-concurrency environments.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in E-commerce.

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Skills

Core Skills

Distributed SystemsHigh-level DesignDatabase Management System (dbms)

Other Skills

Agile DevelopmentAlgorithmsAmazon Elastic MapReduce (EMR)Amazon Web Services (AWS)Android DevelopmentAndroid StudioApache SparkApache ZooKeeperBack-End Web DevelopmentBlockchainCascading Style Sheets (CSS)Classification ServiceContinuous Integration and Continuous Delivery (CI/CD)Data StructuresDatabase Design

About

At Flipkart, I serve as an SDE-2, addressing critical technical challenges, including achieving eventual consistency in 2PC architecture for distributed systems. I previously contributed as an SDE-1 at Flipkart, where I implemented distributed locks with Apache ZooKeeper, optimized BigQuery snapshot queries, and designed scalable services such as a Classification Service for return item management and a Ticketing Service for product issue tracking. I hold a Bachelor's degree in Computer Science from Motilal Nehru National Institute Of Technology. My expertise spans high-level design, CI/CD, and distributed systems, with practical experience leveraging tools like Apache ZooKeeper for high-concurrency environments.

Experience

2 yrs 9 mos

Total Experience

2 yrs 9 mos

Average Tenure

2 yrs 9 mos

Current Experience

Flipkart

2 roles

SDE -2

Promoted

Aug 2025 – Present · 10 mos · Bengaluru, Karnataka, India · Hybrid

• Fixed inconsistency issue in 2PC architecture by achieving eventual consistency in transactions.

High-Level DesignContinuous Integration and Continuous Delivery (CI/CD)Distributed Systems

SDE -1

Sep 2023 – Sep 2025 · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Leveraged ZooKeeper to implement distributed locks, enabling thread-safe operations in high-concurrency
environments.
Optimized BigQuery snapshot query, reducing cost by 80%.
Designed and implemented Classification Service (LLD) handling classification of 200K+ return items daily.
Designed Scalable Ticketing Service (HLD) for product issue tracking using DDD principles and microservices.
Led optimization of inter-warehouse stock transfer from 40% to 95%.

Apache ZooKeeperGoogle BigQueryClassification ServiceTicketing ServiceDistributed SystemsDatabase Management System (DBMS)