Nikhil Nandkumar Mhatre
Connect with meAbout Me
Hey, I’m Nikhil Mhatre — a software engineer and MS-CS candidate at the University of Texas at Arlington (GPA 4.0). I build cloud-native data pipelines, event-driven microservices, and full-stack applications using Python, Java/TypeScript, Spark, Kafka, and React. After two years as a Data Engineer at LTIMindtree I delivered high-throughput Snowflake ETL workflows on AWS & GCP, cut latency, and led cross-functional teams to squash data pain-points. I’m passionate about distributed systems, DevOps automation, and translating gnarly requirements into elegant, reliable products. When I’m not coding you’ll find me mentoring juniors, contributing to open-source, or digging into the latest cloud architecture talk.
Download ResumeLanguages
- Python
- Java
- TypeScript
- JavaScript
- SQL
- C
- PHP
Frameworks & Platforms
- React
- Next.js
- Spring Boot
- Node.js
- Apache Spark
- Apache Kafka
- Tailwind CSS
Cloud & DevOps
- AWS
- GCP
- Docker
- Kubernetes
- Snowflake
- Git
- GitHub
- PostgreSQL
- MongoDB
- MySQL
Experience
Analyst
OIT · University of Texas at Arlington
Arlington, TX · Aug 2023 – Present
- Analyzed service desk ticket data to identify recurring issues, optimize response times, and propose process improvements using Excel and Power BI.
- Built and maintained internal dashboards tracking ticket volumes, resolution SLAs, and agent performance metrics.
- Collaborated with IT management to translate operational trends into actionable insights, reducing ticket backlog by streamlining workflows.
- Developed scripts and documentation to automate reporting processes and support knowledge base enhancement.
- Regularly performed data cleanup and categorization to improve the accuracy of reporting and trend analysis across technical support interactions.
M.S. Computer Science 🎓
University of Texas at Arlington
Arlington, TX · Aug 2023 – May 2025 (exp.)
- GPA 4.0/4.0. Coursework in Distributed Systems, Cloud Computing, Big Data, Machine Learning, and Secure Programming.
- Teaching Assistant for “Cloud & Big-Data”—delivered hands-on AWS and Spark labs to over 100 students.
- Led open-source project teams in the Association for Computing Machinery (ACM) at UTA.
- Active contributor to coding competitions and technical workshops on advanced backend and data engineering topics.
Data Engineer
LTIMindtree
Bengaluru, India · Jun 2021 – Jul 2023
- Designed Java-based serverless microservices on AWS (Lambda, MSK), enabling real-time processing of employee lifecycle events and streaming validated data to downstream audit systems.
- Steered a cross-functional investigation of HRIS data anomalies across 40,000+ global records—collaborated with BAs and Data Scientists, analyzed Spark scripts and Informatica workflows, and delivered a scalable fix.
- Developed Python-based workflows, stored procedures, and materialized views that eliminated 5+ hours of manual effort weekly, while improving data visibility through interactive Power BI dashboards.
- Engineered and optimized ETL pipelines using Snowflake, Spark, Kafka, Scala, and SQL—handled data from 20+ sources, increased pipeline efficiency by 15%, and enforced robust data validation.
- Authored comprehensive documentation and runbooks, reducing production incident recovery time (MTTR) by 40% and improving system auditability.
B.E. Computer Science & Engineering 🎓
Mumbai University
Navi Mumbai, India · Aug 2017 – Jul 2021
- GPA 3.6/4.0. Courses in Database Management, OOP, AI, Operational Research.
- Awarded Best Summer Internship Project for an automation platform adopted by multiple campus teams.
- Organized two coding competitions and one hackathon as part of the Computer Society of India (CSI) technical team.
- Delivered workshops on web development with XAMPP, PHP, and JavaScript to 100+ students.
Software Developer Intern
Ramrao Adik Institute of Technology
Navi Mumbai, India · May 2019 – Jun 2020
- Led a 5-person team to digitize research paper workflows—introduced version control and discussion boards using PHP, MySQL, and JavaScript, reducing paper processing times by 3×.
- Automated voting for the Mumbai University student election system, supporting 750+ institutions.
- Built a scalable attendance management platform with React and Spring Boot—handled 15,000+ concurrent users.
- Trained junior developers in SQL, DBMS, and CI/CD; ensured knowledge transfer and codebase sustainability.
- Received Best Summer Internship Project award for high-impact automation solutions.
Projects
Fitness Tracker
Full-stack application that logs workouts, sets goals, and offers AI-based nutrition tips. JWT-secured APIs, charts for progress, and “one-click” Docker deployment.
Scalable Web Crawler & Search UI
Distributed crawler that pushes scraped content to Kafka → ElasticSearch; a React UI provides lightning-fast full-text search with ranking and filters.
RAFT Consensus Demo
Educational implementation of the Raft consensus algorithm. Spin up a 5-node cluster with Docker-Compose, inspect log replication, and run resiliency tests.
Fake News Detection
End-to-end NLP pipeline (cleaning → vectorising → deep-learning) that classifies news headlines/articles as real or fake. Achieved 96 % accuracy on Kaggle dataset.
SecureAPI Boilerplate
Opinionated starter kit for building production-ready APIs: OAuth2 / JWT auth, Pydantic validation, rate-limiting, Swagger docs, and GitHub Actions CI.
LeNet-5 (MNIST)
Clean reproduction of the classic LeNet-5 CNN, hitting 99 % accuracy on MNIST. Includes live training-loss plots & hyper-parameter notebook.
gRPC Micro-services Playground
Hands-on examples showing bidirectional streaming, deadlines, TLS, and load balancing with Go + gRPC.
Netalyze
Pipeline that ingests network logs, enriches them with threat-intel feeds, and serves analytic dashboards for security teams.
© 2025 Nikhil Mhatre. All Rights Reserved.