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.
