Hadoop Developer Resume

SUMMARY:

12 years experience in High Performance Computing, Optimization and Big Data.
Developing Big Data applications, installing, administration and monitoring Hadoop ecosystems.
Design and implementation of large - scale fault tolerant parallel applications over Clusters and GPUs.
Strong experience in acquisition and installation of Confidential infrastructures including clusters.
Large experience and collaborative work in Big Data, Confidential and Distributed Systems.

TECHNICAL SKILLS:

Big Data: HDFS, Hadoop/MapReduce, Spark, Yarn, Pig, Hive, Sqoop, Flume, Kafka, Cassandra, Hue, Ambari, Ranger, Kerberos

Hadoop Solutions: Databricks, Hortonworks HDP, HDF, Cloudera CDH, Azure HDinsight

BI: SSAS, SSIS, SSRS, Tableau, Visual Studio

Database: MySql, PostgreSQL, SQL Server

Cluster: Slurm, Open Confidential, OAR, OARGRID, Nagios, Ganglia, Puppet, KCONF, BULL ClusterDB

Systems: Redhat, CentOS, Debian, Ubuntu, Windows

Big Data: Java/MapReduce, Scala, PySpark, SparkSQL, MLibC/C++, Java, Python, Scala, R

Cluster/Multicore: MPI/OpenMP, Pthread

GPU: CUDA, OpenCL, jCUDA

PROFESSIONAL EXPERIENCE:

Hadoop Developer

Confidential

Responsibilities:

Developing Big Data Applications using using MapReduce, Hive, Spark, and Databricks
Installing Hadoop platform using Hortonworks HDP2.x, HDP3 and HDF3
Securing the Hadoop platform with Kerberos and Ranger
Integrating HDP Cluster, Ranger and Ambari with the existing Active Directory system
Testing, monitoring and performance evaluation
Connecting HDF and HDP

Technical Environment: HDP3.0.1.0/HDP2.x, HDF3.2.0, Ambari 2.7.1.0 Hadoop, MapReduce, Yarn, HDFS, Hive, Pig, Spark, SparkStreaming, Flume, Kafka, Sqoop, Databricks, Azure HDinsight SSAS, SSIS, SSRS, Tableau, Visual Studio Python, PySpark, SparkSQL, Scala, R

Confidential and Big Data Consultant

Confidential

Responsibilities:

Developing parallel and Big Data applications
Installing Apache Hadoop ecosystem and spark
Installing, administration and monitoring of computing clusters
Designing and supervising a fleet and delivery management with geolocation project

Technical environment: Hadoop/MapRedure, Hive, Pig, Hbase, Spark, PySpark Java, C/MPI, OpenMP, CUDA, OpenCL VMWare ESXi, vSphere, pfSense

Researcher/Engineer

Confidential

Responsibilities:

Leading a research and development team in Confidential, Optimization and Big Data
Design and implementation of large scale parallel and distributed applications over Cluster and GPU
Installing, configuring, administration and monitoring computing and Hadoop clusters.
Developing hadoop/mapreduce and spark/pyspark applications
Design and installation of new Confidential solutions

Technical Environment: Clusters: BULL, Supermicro, NVIDIA, Puppet, KCONF, SLURM, OAR, OARGRID Hadoop/MapRedure, Yarn, Hive, Pig, Spark, PySpark Nagios, Ganglia, BULL ClusterDB C/C++, Java, CUDA, OpenCL, OpenMP, MPI

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