Vignesh V
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Vignesh V Email & Phone Number

Principal Data Engineer at Nike at O'Reilly Media
Location: Beaverton, Oregon, United States 10 work roles 2 schools
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Current company
Role
Principal Data Engineer at Nike
Location
Beaverton, Oregon, United States

Who is Vignesh V? Overview

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Vignesh V is listed as Principal Data Engineer at Nike at O'Reilly Media, based in Beaverton, Oregon, United States. AeroLeads shows a matched LinkedIn profile for Vignesh V.

Vignesh V previously worked as Principal Data Engineer at Nike and Lead Data Engineer at Nike. Vignesh V holds Master’S Degree, Information Technology from Carnegie Mellon University.

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About Vignesh V

Currently working for Cloudwick Technologies as a Hadoop and Data EngineerWas a student of MSIT- Software Engineering program at Carnegie Mellon University, PittsburghOracle PeopleSoft professional with 3+ years experience in Oracle projects and java projects2 years experience in hadoop ecosystem.

Listed skills include Objective C, Amazon Web Services, Software Architectural Design, Requirements Management, and 23 others.

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O'Reilly Media
O'Reilly Media
Principal Data Engineer at Nike
Beaverton, OR, US
AeroLeads page
10 roles

Vignesh V work experience

A career timeline built from the work history available for this profile.

Principal Data Engineer

Current

Beaverton, OR, US

Dec 2022 - Present

Lead Data Engineer

Beaverton, OR, US

Mar 2020 - Nov 2022

Senior Data Engineer

Beaverton, OR, US

May 2018 - Feb 2020

Data Engineer

Newark, California, US

  • Data Migration from Teradata to Snowflake, Jan 2017- CurrentResponsibilities:
  • Worked on Data modelling for constructing BI platform similar to Teradata on Snowflake.
  • Designed and built a data preparation framework using Python BOTO for ingesting data from Teradata and Oracle to Snowflake.
  • Leveraged AWS DataPipeline for ingesting data from Oracle and Teradata.
  • Developed AWS EMR micro batch process for data preparation and cleansing of raw data in S3.
  • Automated the data ingestion and preparation process using Python AIRFLOW DAGs.
Aug 2016 - Dec 2016

Data Engineer

Newark, California, US

  • Next Generation Advanced Analytics Platform for Predictive analytics and Business Intelligence using Machine Learning, July 2016 – CurrentDevelopment of a scaling big data platform to replace Nike’s on-premise system.
  • Built a reusable data ingestion tool using OOZIE for ingesting data from Teradata to Hadoop environment.
  • Worked on H20 and Sparkling Water for parallelizing the Multinomial Regression Model on R Studio.
  • Developed a python framework for building EMR cluster using EC2 spot instances for daily data loads.
  • Constructed Spark data pipelines on EMR cluster for refreshing dashboards on Tableau workbooks.
  • Created an Avro and Snappy compressed data lake on S3, sqooping data from different RDBMS systems.
Jan 2016 - Aug 2016

Big Data Developer

Newark, California, US

  • Real Time Financial Stock Data Analytics on Spark, April 2016 – June 2016Development of a financial stock data analytics application on spark streaming using Kafka and HBase to provide insights on the stock.
  • Worked with Apache Kafka to get real time streaming data from different web servers.
  • Integrated spark streaming with Kafka to process, analyze and extract insights from real time data from different sources.
  • Integrated Apache HBase with spark streaming to store the processed data for real time data processing and random data access.
  • Incorporated Zookeeper to co-ordinate the service provided by the Kafka and the HBase cluster.
Apr 2016 - Jun 2016

Data Engineer

Newark, California, US

  • Data Migration and Analytics on Hadoop using Spark on AWS, Jan 2016 – April 2016Development of a Big Data infrastructure on AWS using Spark to replace an on-premise data warehouse system to reduce cost and maintenance.
  • Worked on Databricks platform on Amazon EMR cluster with R3Xlarge EC2 instances and Spark application to process the data on the cluster.
  • Leveraged storage and optimization techniques to reduce the number of nodes in the cluster to reduce cost and attain SLA.
  • Implemented Spark SQL on EMR to de-normalize the data to increase the query performance for end users.
  • Leveraged the EC2 spot instances in AWS to reduce the overall cost incurred by the EMR cluster.
  • Configured S3 versioning and lifecycle policies to backup and archive files in Glacier.
Jan 2016 - Apr 2016

Senior Systems Engineer

Bangalore, Karnataka, IN

Worked on Enhancements and Customization projects on Oracle PeopleSoft, Java Projects.

Dec 2012 - Jul 2014

Systems Engineer

Bangalore, Karnataka, IN

Training on RDMS, C, JAVA and PeopleSoft in Infosys Ltd. Mysuru, India.

Jul 2009 - Dec 2012
2 education records

Vignesh V education

Master’S Degree, Information Technology

Carnegie Mellon University

Bachelor’S Degree, Electronics And Instrumentation Engineering

Velammal Engineering College
FAQ

Frequently asked questions about Vignesh V

Quick answers generated from the profile data available on this page.

What company does Vignesh V work for?

Vignesh V works for O'Reilly Media.

What is Vignesh V's role at O'Reilly Media?

Vignesh V is listed as Principal Data Engineer at Nike at O'Reilly Media.

Where is Vignesh V based?

Vignesh V is based in Beaverton, Oregon, United States while working with O'Reilly Media.

What companies has Vignesh V worked for?

Vignesh V has worked for O'Reilly Media, Nike, Cloudwick, and Infosys.

How can I contact Vignesh V?

You can use AeroLeads to view verified contact signals for Vignesh V at O'Reilly Media, including work email, phone, and LinkedIn data when available.

What schools did Vignesh V attend?

Vignesh V holds Master’S Degree, Information Technology from Carnegie Mellon University.

What skills is Vignesh V known for?

Vignesh V is listed with skills including Objective C, Amazon Web Services, Software Architectural Design, Requirements Management, Apache Pig, Configuration Management, Peoplesoft Hrms 9.0, and Cassandra.

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