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About Me
8+ years of Overall IT experience in administration, analysis, design, development, implementation and support of business applications with through knowledge in Big Data Hadoop Ecosystems and Core Java. 7+ years of exclusive experience in Big Data H...nowledge in Big Data Hadoop Ecosystems and Core Java. 7+ years of exclusive experience in Big Data Hadoop Administration and its components like HDFS, YARN, MapReduce, Hive, Pig, Flume, Impala, Oozie, Sqoop, Kafka, Hue, Solr, Eagle, AWS, Kubernetes. Expertise to install Apache Hadoop and its related components in a multi-node cluster environment. Administration – Installation and Configuration of Hortonworks HDP Distribution Hadoop Cluster. Manage several Hadoop clusters in development and production environments. Experience in Cloudera Manager CDH Distribution Hadoop Cluster. Secured the Hortonworks HDP Hadoop Cluster with Kerberos Authentication. Extensive Experience in Setting Hadoop Cluster. Extensive Experience with the Complete Hadoop Ecosystem and Contributor to the analysis and Implementing Hadoop system in Production. Aligning with the systems engineering team to propose and deploy new Hadoop environments and expand existing Hadoop clusters. Experience in Hortonworks HDP through Ambari with Hadoop services like HDFS, MapReduce2, YARN, Hive, Oozie, Sqoop, Knox etc., configured and deployed the services and determine the metrics for the services installed in the Distribution. Experience in Cluster maintenance, troubleshooting, Monitoring and followed proper backup and Recovery strategies. High Availability for all HDP Service / Components – Name node, Resource Manager and Hive. Extensive knowledge and related experience with Hadoop and its ecosystem components i.e. HDFS, MapReduce, Hive, Pig, Sqoop, Oozie, HBase, Storm, Ranger and Kerberos etc. Installation, configuration and administration experience in Big Data platforms Hortonworks HDP Ambari, Apache Hadoop on Ubuntu, Red hat and Centos as a data storage, retrieval and processing systems. Installation and configuration of Apache Eagle 0.5.0 is a monitoring and alerting platform design with its flexible application framework and proven big data technologies. Communicated all issues and participated in weekly huddle strategy meetings. Experience in driving the critical issues P1, P2 incidents. Experience collaboratively to manage build outs of large data clusters. Understand and implement the Software development life cycle SDLC process. Implementation of Agile Software Development in project.
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Portfolio Projects
Description
Customer like Google, amazon etc., are having lots of devices in 50,000 or more with them like multiple routers, switches, while purchasing these devices, contracts needs to buy and these contracts is having lots of information like serial number, line items, partners, contract expiry dates etc.
It is very difficult for customer to maintain device inventory. Juniper allocate Service manager to every account like for Google, Amazon account Service manager will be responsible for taking care of customer account customer want to know how many devices there in India are, information about devices etc., Service manager provide this information to customer Service Request if for any faulty device customer raised SR then portal provide view to all SR’s Contract renewal.
Different applications are hosted in the backend of JTAC Workbench, My Juniper
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T-Mobile USA is the United States based subsidiary of Deutsche Telekom AG has networked predominately uses the GSM/GPRS/EDGE 1900 MHz frequency-band. T-Mobile USA uses a radio frequency band for its network. The carrier states it allows faster download and upload data speeds utilizing HSPA technology, which allows for simultaneous voice and data.
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The Digital Services Hub enables enterprises to consume diverse Cloud services from best-of-breed technology providers and ensures that the provisioning, compliance, security, metering, chargeback, monitoring of such services can be centrally managed by the enterprise IT function. The Digital Services Hub also provides a blueprint manager to design, deploy, manage and monitor diverse platforms and/or application blueprints seamlessly through their lifecycle, on a range of Cloud platforms.
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The largest banks in Singapore–Malaysia markets have been widely successful with its customer - focused big data initiatives. The Oversea-Chinese Banking Corporation (OCBC) analysed historic customer data to determine individual customer preferences. It designed an event- based marketing strategy that focused on a large volume of coordinated, personalized marketing communications across multiple channels and touchpoints including email, call centres, branches, ATMs, direct mail, text messages and 3G mobile banking.
Today, using marketing algorithms atop a sophisticated analytics infrastructure, OCBC more precisely targets customers based on their activity, yielding double- and triple-digit percentage increases in key customer performance metrics since the program began in 2005. OCBC achieved a positive return on investment (ROI) on its implementation within 18 months. The promise of achieving significant, measurable business value from big data can only be realized if organizations put into place an information foundation that supports the rapidly growing volume, variety and velocity of data.
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This Project is all about the rehousing of their (Target) current existing project into Hadoop platform. Previously Target was using SQL DB for storing their competitor’s retailer’s information. [The Crawled web data] Early Target use to have only 4 competitor retailers namely Amazon.com, walmart.com etc.
But as and when the competitor retailers are increasing the data generated out of their web crawling is also increased massively and which cannot be accommodable in a MySQL kind of data box with the same reason Target wants to move it Hadoop, where exactly we can handle massive amount of data by means of its cluster nodes and also to satisfy the scaling needs of the Target business operation.
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HIT (Health Insurance Tracker) Application will be implemented as a product which will be useful various companies offering Health Insurance. Once Customer takes the Health Insurance, we can add all information about customer including personal, insurance details etc. Customer premium details will be stored in HIT and then will be tracked. When customer gets the health problem and joined in the hospital, then customer should collect all the bills and submit to Company. Later company people will verify the details whether it is correct or not and then enter the verification details into the HIT. Credit manager verifies and then sanctions the amount for customers.
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