Sourav Mondal

Software Engineer

Bengaluru, Karnataka, India4 yrs 11 mos experience

Key Highlights

Achieved $6M/month cost coverage uplift at Amazon.
Reduced operational costs by 45% through AWS migration.
Developed cross-platform mobile app with 80% component reusability.

Stackforce AI infers this person is a SaaS expert with strong capabilities in cloud infrastructure and data-intensive systems.

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Skills

Core Skills

Software DevelopmentCloud InfrastructureBig Data PipelinesFull Stack DevelopmentSubject Matter Expertise

Other Skills

API OptimizationAWS CloudFormationAWS Identity and Access Management (AWS IAM)AWS LambdaAWS Step FunctionsAdminerAlgorithm DevelopmentAlgorithmsAmazon DynamodbAmazon Elastic MapReduce (EMR)Amazon RedshiftAmazon S3Amazon Web Services (AWS)Apache AirflowApache Spark

About

Have opportunities or want to say Hi, reach out to me at souravmondal0341@gmail.com. 🚀 I'm a Software Engineer at Atlassian, previously with Amazon, and have 5 years of experience building highly scalable cloud infrastructure and data-intensive systems. My key contributions include: ⚙️ $6M+/month cost coverage uplift via automated shipping cost allocation 💰 45% reduction in operational cost by migrating legacy stack to AWS Step Functions 📉 $55K/month savings with EMR provisioning strategy and compression solutions 🛠️ Expertise in Apache Airflow, EMR, CDK, Spark (Scala Spark/Hudi), and AWS ecosystem At Publicis Sapient, I developed full-stack solutions and built a cross-platform mobile app using React Native and Spring Boot, achieving 80% reusability. My strength lies in problem-solving, system design, cloud architecture, large-scale distributed systems, and streamlining operations using automation. I'm always open to solving challenging problems and contributing to high-impact systems!

Experience

4 yrs 11 mos

Total Experience

2 yrs

Average Tenure

11 mos

Current Experience

Atlassian

Software Engineer 2

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · Remote

Team: Reliability Process Group - Observability - Core Engineering
Build React UI component to showcase Incident action items with owner and deadline timer details.
Ingestion scripts to capture important fields and push to databricks tables.
Optimized API performance by implementing request batching, reducing payload size and preventing key API throttling, resulting in improved reliability and throughput of critical services.

ReactAPI OptimizationDatabricksSoftware DevelopmentCloud Infrastructure

Amazon

Software Engineer

Aug 2022 – Jul 2025 · 2 yrs 11 mos · Bengaluru, Karnataka, India

Amazon DevCon 2025 – Ideated, built, and presented an Engineering Excellence Solution in Seattle, USA, used across multiple teams in Amazon (Amongst the Top 130 selected)
Developed automated cost allocation systems, increasing shipping cost coverage by $6M/month
Migrated production stack to AWS Step Functions (State Machine), replacing Data Pipeline, reducing costs by 45%
Designed a volume-based cost allocation engine, improving $4B/year shipping material cost attribution
Implemented dynamic EMR provisioning, saving ~$55,000 monthly
Created QuickSight dashboards, Airflow orchestrations, and CDK automation for deployments
Built redrive & profiling strategies for EMR Spark pipelines using Apache Hudi/spark
Mentored intern on EMR spark profiling project & led production readiness for peak load (98+ readiness score)
Proactively worked on reducing S3 storage usage costs by 80% for a key service.
Used Apache Airflow to orchestrate the data pipeline.
Added metrics and alarms for critical steps in the EMR-based service and created a CDK package for easier deployment, resolving COE action items.

AWS Step FunctionsApache AirflowQuickSightCDKEMRSpark+3

Publicis sapient

Software Developer

Jun 2021 – Jul 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India

Built rich and interactive product pages and implemented product list and detail pages to improve user experience.
Utilized React-Native web and React.Js for cross-platform mobile app development with 80% component reusability, including building a React-Native app for the same.
Developed product snooze and cancellation flows, enabled French localization, and accessibility features for the site.
Built microservices for full-stack supermarket app with role-based access, inventory management, and order placement. Features include login system, localization, authentication, authorization and front-end built with React.

React NativeSpring BootMicroservicesFull Stack Development

Chegg inc.

Subject Matter Expert

Mar 2021 – Jun 2021 · 3 mos · Asansol, West Bengal, India · Remote

Provided expert guidance in computer science, assisting students with technical doubts and assignments.
Developed high-quality technical solutions tailored to individual student needs, enhancing their understanding of complex concepts.
Achieved a 95% satisfaction rate among students through timely and effective support, fostering a positive learning environment.

Computer ScienceTechnical SolutionsSubject Matter Expertise

National institute of technology durgapur

Summer Research Intern

Jan 2021 – Mar 2021 · 2 mos · Durgapur, West Bengal, India · Remote

Developed a Pareto optimal draw algorithm for student choice database and recommended best choice.
Implemented Stable Roommate Problem in Python to automatically generate stable roommate pairs based on student preference information.

Algorithm DevelopmentPython