MANOJIT PRASAD – Technology Architect – Big Data / Hadoop

SUMMARY

·         22 years of experience in software engineering, architecting, delivering and managing diverse applications including client/server, web, grid, service oriented, real time and native iPhone.

·         Processed and analyzed humongous volume of logs generated by IVR system on a 35 node cluster using MapReduce in Java.

·         Architected an ETL solution that enabled genomic data to be bulk loaded onto HBase at the rate of a 0.3 million writes an hour, thus facilitating Bidirectional Best hit calculation.

·         Worked extensively on both Cloudera and Intel Distribution of Hadoop.

·         Extensive hands-on experience on heterogeneous environment C/C++/C# on Windows, Java on Linux, Objective-C on Mac.

·         As an Architect in the R&D department I analyzed manufacturing data to improve solar panel efficiency to 18%.

·         As UNIX administrator I was instrumental in automating access to applications on Mainframe.

·         As an Apache web administrator I was responsible for 24/7/365 upkeep of web application hosting aggregated wireless test data.

·         Provided leadership and technical direction in 2 out of 4 iOS projects.

·         Provided Software consultancy services across multiple industry domains such as Manufacturing, Energy, Healthcare, Security, Finance and Social Network, clientele being Yahoo, Apple, Cisco, Microsoft, Intel, Unisys, Philips and First Solar.

·         Worked in companies of all sizes; startup to Fortune 500.

·         References / recommendations publically available on LinkedIn.

 

WORK STATUS: US CITIZEN

EDUCATIONAL QUALIFICATION

·         MS in Electronics (1991) with dissertation in Optical data link from Nagpur University, India

 

PROFESSIONAL CERTIFICATIONS

·         Cloudera Certified Developer for Apache Hadoop CDH3 & CDH4

·         Cloudera Certified Administrator for Apache Hadoop CDH3 & CDH4

 

SKILLS SUMMARY

OS                                           Linux, Solaris, Mac OS, Windows, iOS

BIG DATA                            Hadoop, MapReduce, HDFS, HBase, Hive, Pig, Scoop, Cassandra

DATABASE                             MySQL, Oracle, SQL Server

SCRIPT                                           Bash, WSH, Expect

 

PROFESSIONAL EXPERIENCE

èEdison International, CA

TECHNOLOGY               Hive, Scoop

TITLE                             Hadoop Administrator

·         Administration: Installation, configuration, upgrade, migration to Cloudera Manager, data compression, benchmarking, monitoring, commissioning nodes, scheduling for resource utilization, backup, capacity planning, troubleshooting, job failure analysis and hive performance tuning.

 

èMcGraw Hill, New York, NY

TECHNOLOGY               Hive, HBase, MapReduce

TITLE                             Sr. Technology Architect

·         Term Frequency, Inverse Document Frequency, Word co-occurrence: Analyzed 1 million articles each having 60+ newsletters by creating frequency of paired words by taxonomy. Used MarkLogic Connector for Hadoop for XML integration.

 

èDupont, Wilmington, DE

TECHNOLOGY               Hive, HBase, MapReduce

TITLE                             Sr Technology Architect

·         Genomics: Bidirectional Best hit calculation is based on an algorithm that compares a protein from a given organism to all known protein of all known organism to find the closest match. To accomplish this I architected an ETL solution that enabled genomic data to be bulk loaded onto HBase at the rate of 0.3 million writes an hour.

 

èFirst Solar, Santa Clara, CA

TECHNOLOGY               Tableau, ASP.NET4, MVC3, LINQ, JavaScript, AJAX, Web Services, JQuery, WCF, HTML5

TITLE                             Software Architect  

·         As a MES Software Architect of the R&D branch, I was solely responsible for a suite of systems that included WIP Tracking System, Laboratory Information Management System, Inventory Management System and Equipment Run Status. Each of these systems were designed and developed in-house from scratch. The apps allowed the management to get an insight into the working of a modern factory. Researchers could define experiment, run it on the factory floor and analyze the data from the lab for process improvement.

 

èMicrosoft, Mountain View, CA

TECHNOLOGY               Hadoop, MapReduce, Java, J2EE, JSP, PL/SQL, Bash, Resin, LAMP (Linux, Apache, MySQL, Perl)

TITLE                             Ad-hoc Reporting   

·         Hadoop MapReduce programming model was used to collect and process large logs generated by configurable events, raised during voice searches or during customer support calls to IVR. My role was to generate ad-hoc reports. I interacted with various clients to gather requirements, performed feasibility study, checking data source, mapping, combining, partitioning and reducing data. In the process I interacted with QA on a daily stand up meeting to identify issues that affected ETL and analytical performance thus improving the data pipeline.

 

èIntel, Santa Clara, CA

TECHNOLOGY               C++, Win32 API, WSH, SCM

TITLE                             Sr. Software Engineer   

·         IFEL (Integrated Flexible Environment for Learning) is a system for performing experiments with machine learning algorithms to build Prediction models. The system allows for flexible test data retrieval, performing pattern extractions (based on feature defined on wafer geometry) and applying the resulting training data to create prediction models. The objective is to predict test result, thus reducing testers'/tools’ time. My role was to create several training data sets based on user configurable options and assist in the planning and designing the model.

 

Some projects intentionally omitted for brevity…

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