Default profile banner
NK

NILESH KHATRI

@nileshkhatri

Data Engineer at Vedantu Innovations Pvt Ltd.

Ahmedabad, Gujarat

Vedantu Innovations Pvt Ltd.Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT)

Nilesh Khatri is an experienced Data Engineer skilled in building robust ETL pipelines. His expertise includes technologies like Apache Kafka, Apache Spark, Python, and various cloud services such as Amazon Redshift and S3. He has proven experience in data architecture, managing end-to-end data ingestion, and optimizing data platforms in fast-paced startup environments.

Experience

Data Science Intern

Vedantu Innovations Pvt Ltd.

Internship•Jan 2001 - Sep 2001•Bangalore

Developed a Predictive chat model to identify technical issues encountered during Live Online classes.

Smart Street Guide

DA-IICT

Internship•May 2001 - Jun 2001•Gandhinagar, Gujarat

Developed an intelligent street system based on Sensor Networking, including automatic street light control, speed detection, and partial image detection for overspeeding vehicles.

Data Engineer

Vedantu Innovations Pvt Ltd.

FTE•Bangalore

Design, develop, optimize, and maintain data architecture and pipelines adhering to ETL principles. Responsible for ingesting data from multiple sources (files, streams, databases) to a centralized Data Warehouse. Experienced in developing end-to-end data ingestion pipelines and handling data modeling projects.

Education

Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT)

Msc (IT)

IT

Jan 2017 - Jan 2019•Grade: 6.83

Master's degree.

Som-Lalit College of Commerce, SLIMS Campus

Bachelor's

Commerce

Jan 2014 - Jan 2017•Grade: 69.30

Bachelor's degree.

Best High School

HSC (10+2)

Jan 2012 - Jan 2014•Grade: 68.00%

High School Certificate.

Best High School

SSC

Jan 2011 - Jan 2012•Grade: 74.80%

Secondary School Certificate.

Skills

Data Engineering
Big Data
ETL Pipelines
Problem Solving
Python
Java
C programming
PySpark
Kubernetes
Docker
CI/CD
Debezium
Apache Kafka
Amazon S3
SQS
Amazon Redshift
Redshift Spectrum
Athena
Spark
Data warehouse
ETL
Pycharm
Machine Learning
Jupyter Notebook
MongoDB
MySQL
Postgres
RDS