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Ayush KesarwaniAK
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Ayush Kesarwani

@ayushkesarwani

I build scalable data pipelines and AI-powered developer tools using Python, PySpark, and Azure Databricks.

India
Message

What I'm looking for

I'm looking to build scalable data and software solutions, work on system design challenges, and continue growing through hands-on engineering work.

I'm currently contributing to data pipeline development and optimization at Milliman India, using Python, PySpark, Apache Spark, and Azure Databricks to improve processing efficiency by approximately 20%.

I help design scalable data solutions for large datasets and support software requirements analysis while following SDLC practices with Git and VS Code.

I've also migrated the MI_REF_MONTHLY workflow from TeamCity to Azure Databricks, implementing Databricks Asset Bundles to automate deployments, environment management, and workflow orchestration.

Beyond data engineering, I built CodeGenie, a multi-agent AI coding assistant using Python, RAG, LangGraph, and the Groq API. I also created Dynamics 365 SSRS reports and automated business workflows during my internship at Trident Information System.

Experience

Work history, roles, and key accomplishments

Milliman India logoMI
Current

Trainee Data Engineer

Mar 2026 - Present (7 months)

Contributed to the development and optimization of data pipelines using PySpark and Apache Spark, improving processing efficiency by ~20%. Assisted in designing and implementing scalable data solutions on Azure Databricks for handling large datasets.

TL

MS D365 F&O Technical Intern

Trident Information System Pvt Ltd

May 2025 - Nov 2025 (6 months)

Created and customized 5+ critical SSRS reports in Dynamics 365, providing real-time business insights that improved decision-making for end users. Formulated and optimized workflows to automate 3 repetitive business processes, reducing manual effort and minimizing errors.

Education

Degrees, certifications, and relevant coursework

LG

LIET, Gr.Noida

B.Tech, Computer Science & Engineering

2022 -

Grade: 8.09/10.0

Pursuing B.Tech in Computer Science & Engineering with a CGPA of 8.09/10.0.

PA

PT.RCMMSS, Allahabad

Class XII (CBSE), PCMC

Grade: 81%

Completed Class XII (PCMC) under CBSE with 81%.

MM

M.T.S Public, Mirzapur

Class X (CBSE), PCMC

Grade: 83.33%

Completed Class X (PCMC) under CBSE with 83.33%.

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