Nitesh Chettri
Azure Data Engineer
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
Experience
Hadoop Developer | Corporate Consultant (Spark | Machine Learning | Data Science)
koenig solutions ltd. | New Delhi Area, India
2016 - 2018
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)
nitXXXXXXXXXXXXXXXXXXXXinMobile Number
+91XXXXXXXX12Education
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