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Liwanshi Raheja
Address: 1700 Halford Ave,Santa Clara,CA Contact no: (817)770-5535 Email: liviraheja@gmail.com
SUMMARY:
Having a great passion for technologies and interest in knowing all that is possible and achievable. Currently
working as a Hadoop Support Engineer in Hortonworks Inc. My area of expertise in BigData field are HDFS,
YARN, Kafka, Spark, Ranger, Kerberos, Sqoop also developing my skills in Machine learning. I am always
interested in learning new technologies and experience new challenges.
EXPERIENCE:
Hadoop Support Engineer at Hortonworks Inc. July 2015-Current
Currently working as a Hadoop Support Engineer at Hortonworks supporting HDP stack that includes
Hadoop core (Yarn, HDFS), Security (Ranger,Ranger KMS, Kerberos, AD, LDAP), Data Access (Hbase,
Spark, Hive, Pig, Phoenix), Streaming (Storm, Spark) Oozie etc services. Also responsible for building and
managing clusters and reproducing different customer scenarios in house, giving hands on experience with
different use cases.
EDUCATION:
Master of Science, Computer Science Engineering, University of Texas, Arlington TX, USA - Graduated in
May 2015.
Bachelor of Technology, Computer Science, Lingaya’s University Faridabad, INDIA.
Skills:
 Languages : Scala, Java, C/C++
 Big Data technologies : Apache Hadoop, Hbase, Spark, Storm, Kafka, HDP Stack
 Security : Kerberos, LDAP, AD, Ranger, Ranger KMS
 Machine Learning Tools : Weka, R, Spark
 Cloud Services : Amazon AWS, Google App Engine, Microsoft Azure, OpenStack
 Database : Oracle, MySQL, SQL Server, Postgres, MongoDB, DynamoDB
 Web Technologies : HTML5, CSS3, JavaScript, XML, jQuery, JSON, PHP
 IDE : Eclipse, Android Studio, IntelliJ, PyCharm
 Protocol : HTTP, IP, UDP, TCP
 Operating System : Linux, Windows 7, 8
Projects:
Amazon Web Services: S3, EC2, DynamoDB and RDB:
 Benchmarked the performance of SQL and NoSQL database on AWS based on transferring large
set of data from local machine to S3 and by running SQL queries. Then used an EC2 instance to
load the data into database.
Data Analysis on AWS and mLearning:
 Transferred large amount of data into DynamoDB (Amazon AWS) and used machine learning
tools such as Weka, R and clustering algorithms to extract the meaning of data and then
visualized the results using D3.js.
Cloud Storage:
 Created an application where files are encrypted and digitally signed before being uploaded to
Google drive and also decrypt while downloading the files.
Hadoop MapReduce Framework:
 Analyzed a large weather dataset using Hadoop Map-Reduce, programmed in Java. Studied the
performance impact by varying the number of mappers and reducers.
Development of a web app for the management of a videogames collection:
 Developed a web application by using PHP, HTML, CSS and JavaScript for a user to buy and
maintain a game collection by creating a database on XAMPP MySQL server to store the
appropriate data.
Google Cloud Storage:
 Transfer small, medium and large data files from the local machine to Google cloud storage (Big
Table) by using Java APIs.
MavRide Escort service:
 Developed a system consisting two different android applications for different users, based on
their login credentials, and a web server to monitor live data updates. Also, Implemented maps
using Google Maps API in one of the applications. Both applications communicate with each other
and real time data is uploaded on web server. The backend is stored on Parse cloud using
android SDK.
P2P file sharing:
 Developed an android application to transfer files between users, based on their distance, using
Bluetooth connectivity.
Restaurant Search:
 Developed an android application for searching nearest restaurants and used Google Maps API
to direct the user to specific selected location.
Network Monitoring using Wireshark:
 Analyzed the network of local system with the help of networking software called Wireshark.
Multithreaded Web Proxy Server:
 Implemented a multithreaded web proxy server to handle multiple HTTP requests (GET and
POST) by client and handle errors when the object requested by client is not available. It also
caches web pages each time the client makes a particular request for the first time and returns
the cached web pages to the client when a cache hit occurs.
Extra-Curricular Activities
 Volunteered in International week as a committee coordinator at UTA.
 Member of Fine arts Society of India as a fashion coordinator during 2013-2014 at UTA.
 Participated along with Indian Cultural council during “Diwali Mela” and “Swaggat” at UTA.
 Hosted “First CSI International Conference & Fifth CSI National Conference on Education and
Research” held at Lingaya’s University.
 Participated as a team member in “Web/Mobile Application Development” with “Inceptra
Technologies”.

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Big Data Engineer Resume

  • 1. Liwanshi Raheja Address: 1700 Halford Ave,Santa Clara,CA Contact no: (817)770-5535 Email: liviraheja@gmail.com SUMMARY: Having a great passion for technologies and interest in knowing all that is possible and achievable. Currently working as a Hadoop Support Engineer in Hortonworks Inc. My area of expertise in BigData field are HDFS, YARN, Kafka, Spark, Ranger, Kerberos, Sqoop also developing my skills in Machine learning. I am always interested in learning new technologies and experience new challenges. EXPERIENCE: Hadoop Support Engineer at Hortonworks Inc. July 2015-Current Currently working as a Hadoop Support Engineer at Hortonworks supporting HDP stack that includes Hadoop core (Yarn, HDFS), Security (Ranger,Ranger KMS, Kerberos, AD, LDAP), Data Access (Hbase, Spark, Hive, Pig, Phoenix), Streaming (Storm, Spark) Oozie etc services. Also responsible for building and managing clusters and reproducing different customer scenarios in house, giving hands on experience with different use cases. EDUCATION: Master of Science, Computer Science Engineering, University of Texas, Arlington TX, USA - Graduated in May 2015. Bachelor of Technology, Computer Science, Lingaya’s University Faridabad, INDIA. Skills:  Languages : Scala, Java, C/C++  Big Data technologies : Apache Hadoop, Hbase, Spark, Storm, Kafka, HDP Stack  Security : Kerberos, LDAP, AD, Ranger, Ranger KMS  Machine Learning Tools : Weka, R, Spark  Cloud Services : Amazon AWS, Google App Engine, Microsoft Azure, OpenStack  Database : Oracle, MySQL, SQL Server, Postgres, MongoDB, DynamoDB  Web Technologies : HTML5, CSS3, JavaScript, XML, jQuery, JSON, PHP  IDE : Eclipse, Android Studio, IntelliJ, PyCharm  Protocol : HTTP, IP, UDP, TCP  Operating System : Linux, Windows 7, 8 Projects: Amazon Web Services: S3, EC2, DynamoDB and RDB:  Benchmarked the performance of SQL and NoSQL database on AWS based on transferring large set of data from local machine to S3 and by running SQL queries. Then used an EC2 instance to load the data into database. Data Analysis on AWS and mLearning:  Transferred large amount of data into DynamoDB (Amazon AWS) and used machine learning tools such as Weka, R and clustering algorithms to extract the meaning of data and then visualized the results using D3.js. Cloud Storage:  Created an application where files are encrypted and digitally signed before being uploaded to Google drive and also decrypt while downloading the files. Hadoop MapReduce Framework:  Analyzed a large weather dataset using Hadoop Map-Reduce, programmed in Java. Studied the performance impact by varying the number of mappers and reducers. Development of a web app for the management of a videogames collection:  Developed a web application by using PHP, HTML, CSS and JavaScript for a user to buy and maintain a game collection by creating a database on XAMPP MySQL server to store the appropriate data. Google Cloud Storage:  Transfer small, medium and large data files from the local machine to Google cloud storage (Big Table) by using Java APIs. MavRide Escort service:  Developed a system consisting two different android applications for different users, based on their login credentials, and a web server to monitor live data updates. Also, Implemented maps using Google Maps API in one of the applications. Both applications communicate with each other
  • 2. and real time data is uploaded on web server. The backend is stored on Parse cloud using android SDK. P2P file sharing:  Developed an android application to transfer files between users, based on their distance, using Bluetooth connectivity. Restaurant Search:  Developed an android application for searching nearest restaurants and used Google Maps API to direct the user to specific selected location. Network Monitoring using Wireshark:  Analyzed the network of local system with the help of networking software called Wireshark. Multithreaded Web Proxy Server:  Implemented a multithreaded web proxy server to handle multiple HTTP requests (GET and POST) by client and handle errors when the object requested by client is not available. It also caches web pages each time the client makes a particular request for the first time and returns the cached web pages to the client when a cache hit occurs. Extra-Curricular Activities  Volunteered in International week as a committee coordinator at UTA.  Member of Fine arts Society of India as a fashion coordinator during 2013-2014 at UTA.  Participated along with Indian Cultural council during “Diwali Mela” and “Swaggat” at UTA.  Hosted “First CSI International Conference & Fifth CSI National Conference on Education and Research” held at Lingaya’s University.  Participated as a team member in “Web/Mobile Application Development” with “Inceptra Technologies”.