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Mayank Kakkar

@mayankkakkar

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Software Development Engineer at Amazon (FinAuto), building AWS data-sharing platforms and event-driven services.

India

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At Amazon (FinAuto), I designed and shipped cross-region data sharing for a Lake Formation and DataZone platform without data replication. I validated it across Athena, Glue ETL, and Redshift Spectrum, and investigated an undocumented Iceberg and Lake Formation limitation.

I also built GDA, a discovery hub for QuickSight dashboards, with folder navigation, search, a view-count pipeline, and one-click access requests. For customer surveys, I engineered an event-driven AWS Lambda pipeline with eligibility checks and unsubscribe-preference enforcement.

At Zupee, I led development of the Rummy vertical through its first two launch phases and implemented UPI ID auto-fetching, which increased first-time withdrawals by 10%. Earlier, as a Data Scientist Intern at HDFC BANK, I developed credit-risk models that improved KS scores by 10%; I also built BuddyChat, a real-time chat application.

Experience

Work history, roles, and key accomplishments

Current

Software Development Engineer

Current

Amazon

Jul 2025 - Present (1 year 2 months)

Designed and shipped cross-region data sharing for a Lake Formation + DataZone platform, built a discovery hub for QuickSight dashboards, and engineered event-driven pipelines. Hardened security and operations, cutting IAM role permissions by 62% and leading on-call with full RCAs.

AWS Lake Formation AWS DataZone Glue Athena Redshift DynamoDB Lambda EventBridge IAM CI CD Security On Call RCA

Software Development Engineer

Zupee

Oct 2023 - Jul 2025 (1 year 9 months)

Led development of the company's Rummy vertical with third-party integration, implemented auto-fetching of UPI IDs increasing first-time withdrawals by 10%, and architected a tournaments upload flow using AWS Step Functions. Published an open-source validation package on npm.

AWS Step Functions NodeJS TypeScript JavaScript Caching Rate limiting Open Source NPM

Data Scientist Intern

HDFC Bank

Jun 2023 - Aug 2023 (2 months)

Developed and optimized machine learning models for credit risk assessment, achieving a 10% improvement in KS scores through model stacking. Engineered a stable scoring system with feature engineering, resulting in an 8% enhancement in prediction accuracy.

Machine Learning CatBoost Decision Trees Feature Engineering Stacked Ensemble Models Credit Risk Python

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology, Mandi

Bachelor of Technology, Data Science and Engineering

2020 - 2024

Grade: 8.12/10

Activities and societies: Volunteer-Planning Team at Expecto’23; led technical workshops for juniors.

Pursued a Bachelor of Technology in Data Science and Engineering, achieving a CGPA of 8.12/10. Relevant coursework included Data Structures, Algorithms, Machine Learning, Database Systems, and System Design.