Bigdata Architect/Developer Resume

SUMMARY:

Over 15 years of total IT experience and 12 years of experienced in Finance (Risk, Finance)
Experience in Cloudera
Bigdata Architect/Developer with 4 years of experience in Apache Hadoop ecosystems and related Bigdata projects.
Excellent understanding of Hadoop architecture and demons of Hadoop MRv1 and YARN (MRv2).
Excellent experience with MapReduce performance tuning techniques to effective utilization of cluster resources.
Experience in BigData analytics including Hadoop MapReduce, HDFS, Hive, Python, Sqoop, Cassandra, HBase, Flume, Kafka, Strom, Spark, Avro, Pig etc..
Hands on experience in installing, configuring and using Apache Hadoop ecosystem components like Hadoop MapReduce, HDFS, HBase, ZooKeeper, Oozie, Hive, Sqoop, Pig and Flume.
Good experience in UNIX and shell scripts.
Good understanding of HDFS Designs, Daemons, federation and HDFS high availability (HA).
Good experience in Hive tables design, loading the data into hive tables.
System Study, Analysis, of Business requirement, preparation of Technical design, UTP and UTC, Coding, Unit testing, Integration testing, System testing and Implementation
Excellent experience in analyzing huge volume of Call Center data and provide IT service improvement areas.
Expertise in design and creating Hive schemas using SerDe CSV, JSON, XML and Serde Regex Storage formats.
Experienced in working with HCatalog to access schemas and query through Hbase, Hive and Pig Shells.
Good understanding and knowledge of NoSQL databases like HBase, MongoDB and Cassandra.
Experienced in working with MongoDB Aggregations, Grouping and Indexes in Data Analytical point of view.
Excellent Experience in working with various Pig Latin joins like Replicated joins, Merge joins and Skewed Joins.
Good experience in handling end - to-end ETL lifecycle using Informatica Power Center, Ab-Initio
Extensive experience in Data analysis, ETL Development, Data warehousing.
Excellent in Data Modeling with expertise in creating Star & Snow-Flake Schemas, FACT and Dimensions Tables.

PROFESSIONAL EXPERIENCE:

Confidential

Bigdata Architect/Developer

Responsibilities:

Excellent understanding of Hadoop architecture and demons of Hadoop MRv1 and YARN (MRv2).
Excellent experience with MapReduce performance tuning techniques to effective utilization of cluster resources.
Experience in BigData analytics including Hadoop MapReduce, HDFS, Hive, Python, Sqoop, Cassandra, HBase, Flume, Kafka, Strom, Spark, Avro, Pig etc..
Hands on experience in installing, configuring and using Apache Hadoop ecosystem components like Hadoop MapReduce, HDFS, HBase, ZooKeeper, Oozie, Hive, Sqoop, Pig and Flume.
Good experience in UNIX and shell scripts.
Good understanding of HDFS Designs, Daemons, federation and HDFS high availability (HA).
Good experience in Hive tables design, loading the data into hive tables.
System Study, Analysis, of Business requirement, preparation of Technical design, UTP and UTC, Coding, Unit testing, Integration testing, System testing and Implementation
Excellent experience in analyzing huge volume of Call Center data and provide IT service improvement areas.
Expertise in design and creating Hive schemas using SerDe CSV, JSON, XML and Serde Regex Storage formats.
Experienced in working with HCatalog to access schemas and query through Hbase, Hive and Pig Shells.
Good understanding and knowledge of NoSQL databases like HBase, MongoDB and Cassandra.
Experienced in working with MongoDB Aggregations, Grouping and Indexes in Data Analytical point of view.
Excellent Experience in working with various Pig Latin joins like Replicated joins, Merge joins and Skewed Joins.
Good experience in handling end - to-end ETL lifecycle using Informatica Power Center, Ab-Initio
Extensive experience in Data analysis, ETL Development, Data warehousing.

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