HadoopÂ Developer Resume

SUMMARY:

Experience in hardware recommendations for Hadoop.
Experience in understanding business requirements to design services and nodes needed for Hadoop and related ecosystem.
Recent experience upgrading Hortonworks HDP and Ambari on Hadoop clusters.
Experience in installing, configuring, testing Hadoop components.
Experience in configuring and optimizing Solr, Hbase, HDFS, Oozie, Sqoop, Kerberos, and Hue.
Experience in diagnosing problems with Hbase, Solr, Ooozie, Yarn, Storm, Kafka, and Kerberos.
Experience in installation and configuration of Ranger to control centralized permissions for various components of the cluster.
Implementing automation of Hadoop setup and configuration using Puppet.
Setting up Kerberos between Hadoop and Microsoft Active Directory, Centrify, and MIT Kerberos with Openldap.
Experience in using Docker: Docker - machine, Docker-compose, Docker-swarm, and miscellaneous Docker components: network, volumes,etc.
Able to process large sets of structured, semi-structured and unstructured data and support systems application architecture.
Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review.
Able to assess data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, and machine learning and advanced data processing.

TECHNICAL SKILLS:

Databases: Microsoft SQL Server, IBM - DB2, Oracle, ER Studio

Languages: SQL, C#, Dot Net, VB, PowerShell, Java, Visual Studio, Eclipse

PROFESSIONAL EXPERIENCE:

Confidential

Hadoop Developer

Responsibilities:

Experience in installing, configuring, testing nCluster components.
Designed, implemented, and supported 30-nodes cluster, four loaders and two queen nodes (primary and failover) with 200TB of capacity.
Designed hardware and network for 30-node nCluster.
Setup LDAP configuration between nCluster and Microsoft Active Directory.
Setup firewalls on servers using iptables
Setup routes from worker nodes to access DB2 nodes through a Queen node.
Coded SQLMR java-code using Eclipse with Aster Data Development Environment plugin.
Upgraded several times with newer releases of nCluster.
Designed & implemented automatic copying of schemas from old system to new system in a parallel upgrade.
Developed security system for nCluster
Developed an “autogrant” script that runs daily to enforce least privilege access model.

Skills: SQLMR, Unix Administration (SuSE), Unix Shell Scripting, SQL, Query Performance Tuning, Networking including bonding and VLANS.

Confidential

Hadoop Developer

Responsibilities:

13+ years of experience in Database Administration and Developer for very large and complex databases in SQL Server 2008 R2, 2008, 2005, 2000 & 6.5.
Expertise in Database Administration on Production Servers with server configuration, performance tuning and maintenance with outstanding troubleshooting capabilities.
Expertise in automating installation & configuration of SQL Servers using C# in Visual Studio.
Expertise in enabling Kerberos in SQL Server with Microsoft Active Directory.
Expertise in T-SQL writing stored procedures, triggers and functions.
Expertise in Administering SQL Server High Availability including Clustering, Mirroring, & Replication.
Experience in using DMV and dynamic management functions for debugging issues with queries.
Worked extensively on Clustering and server consolidation. Troubleshooting production issues and raising high availability.
Proficiency and expertise in SQL Server Replication, Backup/Recovery, Disaster recovery and planning.
Worked on configuring SQL Server with minimum privileged access.
Handled multiple SQL Instances on Cluster environment for Server Consolidation projects built on SAN using RAID levels.
Troubleshoot performance problems, fine-tuning of databases and index Analysis.
Experience in Batch processes, Import, Export, Backup, Database Monitoring tools and Application support.
Created Linked Servers between SQL Server 2008 R2 & DB2. Also created DTS package for data transfer between the two environments.
Working knowledge in Analysis Services (SSAS) & Reporting Services
Experience in supporting Very Large databases (VLDB) and troubleshooting the problems.
Strong experience in mentoring team members and writing documentation.
24 X 7 Production Database on Call Support

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