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Big Data Engineer Resume

SUMMARY:

  • A result - proven big data engineer with over decade of industry experience in leading software development projects and a track record of success with cutting-edge development technologies, strong technical experience in big data ecosystem including big data system architecture and data science development projects.
  • Expertise in Apache Hadoop ecosystem, Spark, Spark SQL, Spark Streaming, Hive, Kafka, Flume, Sqoop, Scala,, Python, PySpark, Streamsets, Shell Scripting, opentsdb,Cloud Computing(GCP).
  • Big Data implementation in E-learning, upstream oil & gas industries.
  • Experience implementing Dashboards and statistical analytics including predictive & scientific analysis.

TECHNICAL SKILLS:

Programming: Scala, Python,PySpark, Shell Scripting.

Tools: Eclipse Oxygen, PyCharm, IDLE, SBT

Big Data: Hadoop architecture, HDFS, Spark Streaming, Kafka, MapR Streams, MapR DB, Apache Drill, Spark SQL, Hive, Hbase, Sqoop, Pig, Map Reduce, Oozie, Spark MLlib (Working knowledge), Streamsets, Yarn,Map Reduce, NIFI

SQL/NoSQL: Apache Hive, Hbase, MapR DB, Big Table, Spark SQL, BigQuery, MongoDB

Streaming: MapR Streams, Kafka, Apache Flume, Spark Streaming, Google Pub/Sub, Dataflow, Apache Beam

Distribution: Cloudera, MapR

Cloud Distributions: Azure, GCP

PROFESSIONAL EXPERIENCE:

Confidential

Big data engineer

Responsibilities:

  • Expertise in Apache Hadoop ecosystem, Spark, Spark SQL, Spark Streaming, Hive, Kafka, Flume, Sqoop, Scala,, Python, PySpark, Streamsets, Shell Scripting, opentsdb,Cloud Computing(GCP).
  • Big Data implementation in E-learning, upstream oil & gas industries.
  • Experience implementing Dashboards and statistical analytics including predictive & scientific analysis.

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