Claims Data Analysis Resume

SUMMARY

An Information Technology professional wif 5+ years of experience
2+ years of experience in Data Engineering using HDFS, Sqoop, Oozie, Spark and Scala.
3 years 6 months experience in ETL Testing and Data warehouse concepts.
Having good noledge on Hadoop Architecture
Good Knowledge about Name Node, Data Node, Job Tracker, Task Tracker, Secondary Node and YARN Architecture.
Good Knowledge on Spark Architecture including Spark Core, Spark SQL, RDD, Data Set, Data Frames.
Experience in usage of Hadoop distribution package like HDP 2.6
Experience in transferring data from RDBMS to HDFS and HIVE table using SQOOP.
Performance tuning using Optimization techniques Caching Data In Memory, Broadcast Hint for SQL Queries.
Good Knowledge in Handling the Bad data in text files and JSON.
Having good noledge on scheduling the Spark Jobs using Oozie.
Vast experience wif format ETL and Database Testing and Good understanding of ETL testing principals and concepts.
My strength lies in delivering organizational expectations and on time delivery of the assigned tasks.
Good team player wif good communication and interpersonal skills, good client facing skills. Very good at understanding problems and resolving them, working towards the organization’s goals and deadlines.
Able to communicate wif the end clients via Email wif good email etiquette and via phone.

TECHNICAL SKILLS

Big Data Ecosystem: HDFS, Sqoop, Spark, YARN

Operating System: Windows, Linux.

Programming Languages: Scala, Spark - SQL, MYSQL

Hadoop Distributions: Hortonworks Data Platform 2.6

PROFESSIONAL EXPERIENCE

Claims Data Analysis

Confidential

Environment: HDFS, Sqoop, MySQL, Spark and Scala.

Responsibilities:

Load and transform large sets of structured, semi structured data wif Spark.
Building robust ETL pipelines using Spark
Error Handing in JSON files and text files
Performance tuning using Optimization techniques.
Automating the Spark Jobs using Oozie.

Data Engineering

Confidential

Environment: HDFS, Sqoop, MySQL, Spark and Scala.

Responsibilities:

Load and transform large sets of structured, semi structured data wif Spark.
Building robust ETL pipelines using Spark.
Performance tuning using Optimization techniques.
Automating the Spark Jobs using Oozie.

Confidential

SQL Assistant

Environment: Teradata SQL Assistant, Informatica, IBM Rational Clear Quest, Ataccama DQC, SAS Enterprise Guide, Teradata Utilities (Fast load and Multi load), WinSCP.

Responsibilities:

Involved in the testing estimates based on the requirements and ensured dat estimates are in line wif the project plan timelines.
Prepared the Test environment and loads the data into SIT before the testing activities are commissioned.
Identified scenarios and involved in test data preparation.
Prepared test plan, test cases, test scripts and test documentation (Testing Metrics document and Defect tracking).
Created, optimized, reviewed, and executed SQL test queries to validate transformation rules used in source to target mappings and verify the data in outbound files. Also prepared scripts for various Business Scenarios
Prepared daily status report & weekly status reports and publishing it to the project manager & development teams.
Preparing the regression test suit.
Had defect triage meeting wif the development team and ensured dat all the critical & high severity defects & prioritized and resolved at the earliest.
Prepared KT document and had a review wif developers and Subject matter experts and trained new joiners.

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