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I’m Ayush Agarwal, a Computer Science student at the University of Wisconsin–Milwaukee with a strong focus on data engineering, ETL/ELT, and building AI/analytics solutions. I enjoy turning messy real-world data into reliable pipelines, dashboards, and machine-learning-driven insights. I’ve worked on predictive maintenance and real-time manufacturing analytics hackathon projects, and I’m currently developing production-grade data workflows with tools like Azure, Databricks, Kafka, Spark, SQL, and Power BI. I’m also passionate about mentoring—tutoring students in programming, DSA, and algorithms to help them build solid problem-solving fundamentals.…I’m Ayush Agarwal, a Computer Science student at the University of Wisconsin–Milwaukee with a strong focus on data engineering, ETL/ELT, and building AI/analytics solutions. I enjoy turning messy real-world data into reliable pipelines, dashboards, and machine-learning-driven insights. I’ve worked on predictive maintenance and real-time manufacturing analytics hackathon projects, and I’m currently developing production-grade data workflows with tools like Azure, Databricks, Kafka, Spark, SQL, and Power BI. I’m also passionate about mentoring—tutoring students in programming, DSA, and algorithms to help them build solid problem-solving fundamentals.

Ayush Agarwal

Web Developer, Programmer, Full Stack Developer, +4

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I’m Ayush Agarwal, a Computer Science student at the University of Wisconsin–Milwaukee with a strong focus on data engineering, ETL/ELT, and building AI/analytics solutions. I enjoy turning messy real-world data into reliable pipelines, dashboards, and machine-learning-driven insights. I’ve worked on predictive maintenance and real-time manufacturing analytics hackathon projects, and I’m currently developing production-grade data workflows with tools like Azure, Databricks, Kafka, Spark, SQL, and Power BI. I’m also passionate about mentoring—tutoring students in programming, DSA, and algorithms to help them build solid problem-solving fundamentals.…I’m Ayush Agarwal, a Computer Science student at the University of Wisconsin–Milwaukee with a strong focus on data engineering, ETL/ELT, and building AI/analytics solutions. I enjoy turning messy real-world data into reliable pipelines, dashboards, and machine-learning-driven insights. I’ve worked on predictive maintenance and real-time manufacturing analytics hackathon projects, and I’m currently developing production-grade data workflows with tools like Azure, Databricks, Kafka, Spark, SQL, and Power BI. I’m also passionate about mentoring—tutoring students in programming, DSA, and algorithms to help them build solid problem-solving fundamentals.

Available to hire

I’m Ayush Agarwal, a Computer Science student at the University of Wisconsin–Milwaukee with a strong focus on data engineering, ETL/ELT, and building AI/analytics solutions. I enjoy turning messy real-world data into reliable pipelines, dashboards, and machine-learning-driven insights.

I’ve worked on predictive maintenance and real-time manufacturing analytics hackathon projects, and I’m currently developing production-grade data workflows with tools like Azure, Databricks, Kafka, Spark, SQL, and Power BI. I’m also passionate about mentoring—tutoring students in programming, DSA, and algorithms to help them build solid problem-solving fundamentals.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Beginner

Language

English

Fluent

Work Experience

Data Engineer (Intern) at Celebal Technologies

June 1, 2026 - July 31, 2026

Built data engineering POCs and pipelines using Azure services (Azure Data Factory, Azure Data Lake Storage), Databricks, PySpark, and SQL. Developed batch pipelines using Medallion Architecture (and AWS S3 for storage) and created a real-time streaming pipeline using Apache Kafka on Databricks. Implemented SCD Type 1/2/3 logic for historical tracking and generated synthetic data using Python Faker. Created dashboards to visualize outputs for both batch and streaming pipelines.

Computer Science Tutor at CEAS, University of Wisconsin–Milwaukee

January 1, 2026 - Present

Tutored students in programming, data structures, and algorithms, helping improve conceptual understanding and problem-solving skills. Debugged 10–15 student code submissions weekly and provided clear explanations of logic, efficiency, and alternative solutions tailored to different learning styles.

Computer Science Drop-In Tutor at CEAS, University of Wisconsin-Milwaukee

January 1, 2026 - Present

Tutor undergraduate students in programming, data structures & algorithms, strengthening conceptual understanding and problem-solving skills. Review and debug student code, clearly explaining logic, efficiency, and alternative approaches to support different learning styles.

Math Tutor at CEAS, University of Wisconsin–Milwaukee

September 1, 2024 - December 31, 2025

Tutored 20+ students weekly in algebra, precalculus, and calculus. Helped students strengthen mathematical concepts and develop effective problem-solving strategies.

Math Drop-In Tutor at CEAS, University of Wisconsin-Milwaukee

September 1, 2024 - December 1, 2025

Provided tutoring in algebra, precalculus and calculus. Helped students develop effective problem-solving strategies and build confidence in approaching mathematical concepts.

Outreach Assistant at University Housing, University of Wisconsin–Milwaukee

February 1, 2024 - Present

Led housing tours and represented University Housing at events and fairs, supporting prospective students with information and guidance. Helped promote outreach activities via social media, assisted with event organization, and maintained awareness content for upcoming events.

Outreach Assistant at University Housing, University of Wisconsin-Milwaukee

February 1, 2024 - Present

Lead housing tours and represent University Housing at events and fairs, providing information and support to prospective students. Help with promoting events, sharing information, and keeping outreach activities organized.