Software Engineer

NIKHIL MHATRE

**************@*****.*** +1-682-***-**** GitHub/ghost9933 LinkedIn/nikhil-nandkumar-mhatre SUMMARY

Software Engineer with experience in the design and development of scalable applications using Typescript, Spring Boot, and React. Proven expertise in the development of robust big data solutions using cloud technologies. I am currently specializing in web technologies, cloud computing, and machine learning, and have a passion for solving complex problems, committed to continuous learning and can quickly adapt to new technologies and environments. Seeking a software engineering position to leverage my skills and contribute to innovative projects. PROFESSIONAL EXPERIENCE

Data Engineer, LTI Mindtree June 2021 – April 2023

• Enhanced database accuracy and reduced processing time by using SQL optimization in the ETL process, eliminating 95% of duplicate/invalid records and data inconsistencies.

• Set up and managed processes for incoming data requests from teams across the organization.

• Automated repetitive tasks and report generation, saving 0.5 days of manual effort daily for one FTE.

• Engineered end-to-end data pipelines using Snowflake, Spark, Kafka, Python, and SQL to extract, transform, and load data from diverse sources, achieving a 20% reduction in data processing time and increasing data accuracy.

• Analyzed complex employee HR data for Warner Media, finding inconsistencies, trends, and root causes of anomalies, providing insights, and implementing solutions.

Software Developer Intern, Ramrao Adik Institute of Technology June 2019 – July 2020

• Led a team of five and collaborated with cross-functional teams to gather requirements and develop two projects. Utilized Java, Spring Boot, and SQL for back-end development and JavaScript, React, Node.js, HTML5, and CSS for front-end development to deliver scalable and efficient solutions.

• Won the Best Summer Internship Project Award for one of the projects delivered during this internship.

• Implemented CI/CD pipelines using Git, Docker, and Jenkins, reducing manual intervention, enhancing collaboration, and saving daily efforts.

• Trained juniors in SQL querying, DBMS, and CI/CD basics, fostering a culture of continuous learning and knowledge sharing. SKILLS

• Languages: Golang, Python, C, Java, HTML, CSS, JavaScript, TypeScript, SQL, PHP

• Frameworks: React, Vue, Node.js, Pandas, NumPy, OpenCV, Spark, Hadoop, HiveQL, Spark SQL, Kafka, GraphQL

• Tools: GitHub, Postman, Jenkins, CI/CD, AWS, GCP, Docker, Kubernetes, Snowflake, Informatica PC, IICS, bash, IBM Cognos

• Databases: SQL Server, Azure SQL, MariaDB, MongoDB, AWS Aurora

• Misc.: Excel, Power BI, ServiceNow, TensorFlow, Rest APIs, Machine Learning

• Soft Skills: Scrum, Collaboration, Leadership, Multi-tasking, Accountability CERTIFICATIONS

• SnowPro Core Certification: Snowflake

• DevOps Professional Certificate: PagerDuty and LinkedIn

• JavaScript: Microsoft

EDUCATION

University of Texas at Arlington, TX, USA August 2023 - Present Master of Science in Computer Science GPA: 4.0/4.0 Relevant Courses: Cloud Computing, Design and Analysis of Algorithms, Data Analysis and Modelling Techniques, Software Engineering II: Management, Maintenance, & QA, Data Mining, Cloud Computing & Big Data, Distributed Systems Mumbai University Navi Mumbai, India August 2017 - July 2021 Bachelor of Engineering in Computer Science & Engineering GPA:3.55 PROJECTS

No-Code Data Pipeline Creator (a cloud-native web application) 2023 AWS, JavaScript, Node.js, HTML, CSS, Django, Docker, Spark, Jenkins, Testing, GitHub actions,

• Developed a cloud-native No-Code Data Pipeline Creator using GCP’s Dataproc and Dataflow, enabling intuitive data transformation pipeline creation through a user-friendly interface, enhancing user engagement and operational efficiency.

• Built a secure front end that allows users to securely upload datasets to cloud storage using OAuth 2.0 and multipart upload.

• Streamlined development by implementing a CI/CD pipeline with automated testing, enhancing efficiency and reliability. Scalable Image Classifier on AWS 2021

Torch, React, HTML, CSS, JavaScript, Pandas, NumPy, AWS, and NLTK libraries.

• Developed a scalable image classifier capable of handling multiple concurrent user requests with <1-second latency, featuring a front-end portal allowing users to retrain the model with custom datasets.

• Architected loosely coupled components using a messaging queue for communication between the application tier and frontend tier, using AWS services such as EC2, S3, SQS, and VPC.

Text Summarizer 2020

Flask, TensorFlow, Collab, Python, HTML, CSS, JavaScript, CI/CD, Flask, React

• Created a text summarizer using Google's Pegasus and improved the model using APES for the generation of context-based human-like summaries and built a front-end interface for easy user interaction with the summarizer model and testing. Quiz Hosting Application 2020

Spring Boot, React, JavaScript, HTML, CSS, AWS, Docker

• Developed a scalable quiz hosting application with a Spring Boot backend and a React frontend, enabling real-time quiz hosting and management.

• Deployed the application on AWS, ensuring scalability and high availability. EXTRACURRICULAR

• Actively contributed to CSI's (Computer Society of India) technical team, organizing two high-stakes coding competitions.

• Conducted two web development workshops on web application development using XAMP (Apache Server, MariaDB, PHP), HTML, JavaScript, CSS and Bootstrap

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