Hadoop Engineer Resume , CA - Hire IT People

SUMMARY:

26 years of experience in software engineering, architecting and delivering diverse applications/frameworks including client/server, web, distributed, service - oriented, real time and native iPhone.
Administered a dozen Hadoop clusters averaging about 500 nodes per cluster.
Analyzed telephony Call Detail Record logs generated by IVR system using MapReduce obtaining metrics not possible before.
Architected an ETL solution that enabled genomic data to be bulk loaded onto HBase, thus facilitating protein comparison to arrive at a score indicative of the degree of match.
Pioneered a machine learning algorithm to build Prediction model that predicts the state of a semiconductor chip in the manufacturing process.
Worked extensively on both Cloudera and Confidential Distribution of Hadoop. Familiar with MapR distribution and trained on Hortonwork s Data Platform.
Enabled Confidential Distribution of Hadoop on Amazon EC2 .
Extensive hands-on experience on heterogeneous environment; C++/C 12 years, Java 4 years, Objective-C 3 years.
As an MES 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.
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 and Social Network, clientele being Yahoo, Confidential, Cisco, Confidential, Confidential, Unisys, Philips and First Solar.
Worked in companies of all sizes; Startup to Fortune 500.
References / recommendations publicly available on LinkedIn.
Contributed code to github.

SKILLS SUMMARY:

OS Linux, Mac OS, Windows, iOS BIG DATA Hadoop, MapReduce, HBase, Hive, Pig, Cassandra, Spark, Kafka SCRIPT Bash, awk, sed, Expect STAT TOOLS Octave, Python, MLLib, Excel LANGUAGE C, C++, Objective - C, Java INTEREST Machine Learning

EXPERIENCE:

Hadoop Engineer

Confidential, CA

Responsibilities:

My responsibility includes stabilizing (and growing) Hadoop Ecosystem, researching, evaluating and introducing new technology, on boarding and educating customers, tuning cluster for performance improvement, supporting infrastructure and automating processes by writing scripts.

NoSQL/Hadoop Administration

Confidential, CA

Responsibilities:

Managed 4 Production clusters averaging about 500 nodes per cluster. Performed cluster creation, authentication enablement, troubleshooting, cluster balancing, file system check, monitoring disk/cpu/memory/network utilization.

Hadoop/Hive Administration

Confidential, CA

Responsibilities:

Upgraded and configured migration to Cloudera Manager. Performed capacity planning, backup, data compression, node commissioning, benchmarking, scheduling for resource utilization. Analyzed job failure and tuned hive performance.

Design of Prediction Model IFEL / Data Mining

Confidential, CA

Responsibilities:

Pioneered 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. Predicted test results with greater accuracy reducing testers’/equipments’ time.

MapReduce Reporting

Confidential, CA

Responsibilities:

Interacted with various clients to gather requirements, perform feasibility studies and checked data sources for Call Detail Record from mobile operators and SMS Aggregators. Accomplished task by writing MapReduce program and publishing the reduced data.

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Hadoop Engineer Resume

CA

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