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Nitesh Chettri

Azure Data Engineer

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About

Nitesh Chettri is a highly skilled and experienced Senior Data Engineering Analyst with more than a decade of relevant experience in the IT industry. He is currently working at UnitedHealth Group as a Senior Software Engineer - Data Engineer, where he is responsible for creating end-to-end data pipelines for data science projects. He has developed and deployed production-ready code for multiple projects within the portfolio. Nitesh has worked on various technologies like Apache Hadoop, Spark, and its components. He has good exposure to Mathematics, Quantitative Research, Natural Language Processing (NLP), and Scikit-Learn. He has also worked on different tasks like analyzing big data with Microsoft R, performing cloud data science with Azure Machine Learning, performing data engineering on Microsoft HD Insight and performing big data engineering on Microsoft Cloud Services, GCP, ETL processing, data modeling, data architecture, data pipelines, and data visualization. In his previous roles, Nitesh has worked as a Senior Software Engineer - Hadoop / Spark / Kafka at GlobalLogic, where he worked as a data engineer on the client-side on their product(Operation Analytics tool). He has also worked as a Hadoop Developer and Corporate Consultant (Spark | Machine Learning | Data Science) at Koenig Solutions Ltd. In this role, he analyzed photos to find faces, emotions, to identify inappropriate content, to understand their content. He has also configured the Kiosk application to use Microsoft Cognitive Services’ Face, Emotion, and Computer Vision APIs. Nitesh has completed his Bachelor of Engineering (BE) in Computer Science & Engineering from RGPV. He has also completed his X and XII (CBSE) from Army Public School, Shillong. He has a strong technical background and is proficient in various technologies like Data Engineering, Spark, Hadoop, Software Engineer, Kafka, Big Data, HDFS, Data Scientist, NLP, Azure, ETL, ML, Scikit, Research Scientist, NoSQL, GCP, Python, Postgres, Apache Hive, Computer Vision, and Web. Overall, Nitesh Chettri is a highly skilled and experienced Senior Data Engineering Analyst with a strong technical background and expertise in various technologies. He has a proven track record of developing and deploying production-ready code for multiple projects and creating end-to-end data pipelines for data science projects.

Education

-

Companies

unitedhealth

globallogic

koenig solutions ltd.

gyansha infotech

freelance

Experience

11 Years

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Experience

Advisory Services Consultant

unitedhealth | Noida, Uttar Pradesh, India

2024 - Present

Senior Software Engineer - Data Engineer

unitedhealth | Noida, Uttar Pradesh, India

2020 - 2024

Senior Software Engineer - Hadoop / Spark / Kafka

globallogic | Noida Area, India

2018 - 2020

Hadoop Developer | Corporate Consultant (Spark | Machine Learning | Data Science)

koenig solutions ltd. | New Delhi Area, India

2016 - 2018

Big Data | Hadoop Developer

gyansha infotech | Gurgaon, India

2014 - 2016

Freelance Consultant

freelance | Bhopal Area, India

2013 - 2014

Skills

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.NET Framework

Amazon Web Services (AWS)

analytics

Apache

Apache HBase

Apache Hive

Apache Kafka

Apache Pig

Apache Spark

Apache ZooKeeper

architecture

Azure

Azure Data Factory

Azure Data Lake

Azure Databricks

Azure Functions

Azure fundamentals

Azure SQL

Big Data

C

c#

C++

Cascading Style Sheets (CSS)

CSS

Data Architecture

Data Engineering

Data Migration

Data Pipelines

Data Processing

Data Science

Data Scientist

Data Visualization

Databases

Databricks

Databricks Cluster

Extract, Transform, Load (ETL)

Flume

Google Cloud Platform (GCP)

Hadoop

HBase

HDFS

Hive

HTML

InfoNgen

Java

JavaScript

Kafka

Linux

Machine Learning (ML)

MapReduce

Microsoft Azure

Microsoft Office

Microsoft SQL Server

MySQL

Natural Language Processing (NLP)

NoSQL

Oozie

Oracle

PHP

PL/SQL

PostgreSQL

pyspark

Python

R

R (Programming Language)

Red Hat Linux

Research

Research Scientist

RStudio

SAS Base

Scikit

Scikit-Learn

Software Engineer

SQL

Sqoop

storage

Ubuntu

Visual Studio

Web Development

Windows

XML

Contact Details

Email (Verified)

nitXXXXXXXXXXXXXXXXXXXXin

Mobile Number

+91XXXXXXXX12

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