Hi, I'm Apurv Chandel, a Data Engineer 2 at Shaadi.com, specializing in backend development, cloud infrastructure, and scalable systems.
As a Data Engineer 2, I lead data pipeline architecture and optimization efforts. I have extensive experience migrating RESTful APIs to GraphQL, managing CI/CD pipelines, upgrading Kafka MSK versions, designing and implementing data solutions with Apache Spark and PySpark, and handling CompIntel Services for vulnerability detection.
I architect and implement ETL/ELT pipelines using Apache Airflow, manage high-volume data processing with Amazon Redshift and DynamoDB, and optimize query performance across distributed systems. My technical expertise includes Python, Java, GoLang, and frameworks like Spring Boot, Flask, and Django, with deep knowledge of AWS services including Lambda, RDS, and EC2.
With a Computer Science degree from IIIT Nagpur (GPA: 8.64/10), I have strong competitive programming credentials including a CodeChef world rank of 152 and 1471st place in Google HashCode 2021. My passion for building efficient, scalable, and high-performance data systems drives continuous innovation and learning.
Let's connect and build something amazing!
2018 - 2022
Indian Institute of Information Technology, Nagpur
Related Coursework:
Data Structure and Algorithm,
Object-Oriented Programming,
Database Management Systems,
Design & Principle of Programming Language,
Design and Analysis of Algorithms,
Operating Systems
2016 - 2018
Narayana Junior College
Related Coursework:
Mathematics, Physics, Chemistry,
24-07-2023 - Present
Data Pipeline Architecture & Optimization
Key Responsibilities:
• Architect and optimize ETL/ELT pipelines using Apache Airflow for data processing
• Migrate RESTful APIs to GraphQL for improved query efficiency
• Manage CI/CD pipelines and DevOps infrastructure
• Upgrade and maintain Apache Kafka MSK versions for message streaming
• Implement CompIntel Services for vulnerability detection and security
• Design data solutions with Apache Spark and PySpark for large-scale processing
• Optimize Amazon Redshift queries and manage DynamoDB data models
Tech Stack: Python, Java, GoLang, Apache Airflow, Kafka, Spark, AWS (Lambda, RDS,
EC2, Redshift, DynamoDB), Docker, Kubernetes, CI/CD
05-07-2022 - 24-07-2023
Backend Development & Conversational AI
Key Responsibilities:
• Developed and maintained Spring Boot microservices for enterprise applications
• Implemented DialogFlow CX integration for conversational AI solutions
• Optimized database queries and API performance for production systems
• Collaborated on CI/CD pipeline improvements and deployment strategies
• Resolved complex algorithmic challenges in backend systems
Tech Stack: Java, Spring Boot, DialogFlow CX, Data Structures & Algorithms,
Microservices
07-06-2021 - 31-12-2021
Generic Document Parser - NLP & Language Processing
Project Overview:
Designed and implemented a generic document parser that automatically extracts and structures data
from various document formats using natural language processing techniques.
Key Contributions:
• Built ANTLR4-based grammar and parser for document parsing and tokenization
• Developed Java backend for document processing pipeline
• Implemented object-oriented design patterns for extensible parser architecture
• Optimized data structure usage for efficient document traversal and analysis
• Collaborated with research team on algorithm optimization
Tech Stack: Java, ANTLR4, Data Structures & Algorithms, Object-Oriented
Programming, NLP Concepts
2025
A comprehensive PDF toolkit with 4 powerful features: unlock password-protected PDFs, add password
protection, convert images to PDF, and compress files. Built with Flask (Python) backend and a modern
frontend with drag-and-drop support. Designed for secure handling of personal files—processed on a
trusted server with no retention. Deployed on Render (API) and GitHub Pages (frontend).
Try PDF Tools | Project Link
June 2020
This NodeJs Application has the details of The SAC Website
Build using NodeJs Hosted in Fire-base Web-Application.
This application has the whole data regarding the official SAC of IIIT Nagpur.
Project Link
April 2020
This application was extension of AarogyaApp.
Build using Android Studio And Fire-base.
This application informs authority about the COVID-19 Vitim’s who visited nearest shops and provide
details
about people who came contact with them.
Project Link
January 2020
Official Website of Abhivyakti(Cultural Fest of IIIT Nagpur).
Website made using HTML5,CSS,JS,Bootstrap.
Back-End using Django.
Used Sources like CodePen.
Learned a lot from the team, gained experience and exposure.
Project Link
December 2019
This consists of data analysis using Pandas and openpyxl in Python.
Calculate the GPA of all students and make a database of it from a single file of marks from
teachers as input.
By using libraries Tkinter in python makes it GUI based.
Project Link
October 2019
Developed using Python.
Used linear regression to maximize the R2 core >0.87
An accurate estimation of interstate traffic of metro city using Linear regression model of
Machine Learning.
Project Link
September 2019
Developed using Python.
Helps in managing large data of the library.
Provide Admin to truncate the data and change priorities
Secure Login for the Admin.
Easy filters and proper use of the concept of classes and validation.
Project Link
August 2019
Official Website of Tantra-Fiesta(Tech-Fest of IIIT Nagpur).
Website made using HTML5,CSS,JS,Bootstrap.
Learned a lot from the team, gained experience and exposure.
Project Link
December 2018
For IFERP
Topic: Media as a Social Need.
April 2020
Topic: Economic Ramification Due To COVID-19
Paper
Link.
Topic: An Accurate Estimation of Interstate Traffic of Metro City Using Linear Regression Model of
Machine Learning
Paper Link.