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Technical Lead Resume

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SUMMARY

  • A versatile and skilled IT professional specializing in Big data and Hadoop wif over 10 years of rich experience.
  • 4+ years of experience in designing and developing Big Data applications using Hadoop, MapReduce, Pig, Hive, Sqoop, Flume, Spark, Kafka, Cassandra and Oozie.
  • Hortonworks certified Developer.
  • Extensive experience on Cloudera and Hortonworks Distribution.
  • Good experience on cloud technologies - AWS, S3, EMR and Redshift.
  • Experience on Python and Scala.
  • Good experience on SOLR search engine and Drools rule engine.
  • Excellent experience wif Java, Spring MVC, Hibernate, Angular.js, JavaScript.
  • Extensive experience in Design, Execution, Delivery of complex projects using various Microsoft.Net Technologies such as C#, ASP.Net MVC.
  • Good experience in handling databases like SQL SERVER, Oracle, and MySQL.
  • Excellent domain noledge in Banking and Finance, Retail and Industrial Automation.
  • Good experience on Agile (Scrum) process.

TECHNICAL SKILLS

Big Data: Hadoop, Map Reduce, Pig, Hive, Sqoop, Flume, Cassandra, Spark, AWS

Languages: C#, MC++, Java, Scala

Web Technologies: Spring MVC, JavaScript, AngularJS, JQuery, HTML

Database: SQL Server, Oracle, MySQL

Scripting: Shell Scripting, Python

Configuration Management: TFS, ClearCase, SVN and Git

Tools: Maven, Sonar, Jenkin

PROFESSIONAL EXPERIENCE

Confidential

Technical Lead

Responsibilities:

  • Loaded Teradata and SAP Hana data to hive using Sqoop.
  • Converted Hana procedures to hive queries.
  • Performance optimization of hive queries.
  • Developed Data Validator tool using Spark and Scala to validate Teradata/Hana and hive data.
  • Developed user interface and REST api for data validation tool.

Confidential

Technical Lead

Responsibilities:

  • Collect data from different sources of Confidential like Confidential .com, Sam’s club and Confidential store and loaded into hive table.
  • Wrote hive queries for different business cases.
  • Performance optimization of hive queries.
  • Convert hive queries to Spark to minimize load process time to teh final table.
  • Performance tuning of Spark jobs.
  • Loaded Teradata and SAP Hana data to hive using Sqoop.
  • Developed Data Validator tool using Spark and Scala to validate Teradata/Hana and hive data.
  • Worked on Pig script for parsing JSON files.
  • Worked on python to auto parsing JSON files and loaded into hive tables.\

Confidential

Lead Engineer

Responsibilities:

  • Developed metadata management tool Data Registry for validation of files before pushing into HDFS.
  • Developed multiple REST APIs for different use cases.
  • Wrote Map Reduce job for data quality check.
  • Wrote Hive queries for analytics purpose.
  • Worked on Cloudera Navigator for data lineage and tracking purpose.
  • Worked on Solr for searching metadata registered in data registry application.
  • Worked on Spark and Scala for implementing data profiling job.
  • Worked on Pig for multiple file format creation such as Parquet.
  • Worked on drools and decision table for Data Quality check of raw data.
  • Worked on AWS to run Data quality map reduce jobs on S3 and EMR.
  • Worked on Python for automatic data profiling.
  • Wrote shell script to migrate MySQL data to hive tables.

Confidential

Sr. Software Developer

Responsibilities:

  • Installed Hadoop in multiple nodes.
  • Involved in writing hive queries to do advanced analytics.
  • Importing and exporting data into HDFS and Hive using Sqoop.
  • Wrote MapReduce program to make teh unstructured data to semi structured data.
  • Used Tableau for reporting purpose.

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