Chinmayee N.

Chinmayee N.

Big data ,ETL ,Data Base Testing Expert

Pune , India

Experience: 5 Years

Chinmayee

Pune , India

Big data ,ETL ,Data Base Testing Expert

11476.2 USD / Year

  • Immediate: Available

5 Years

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About Me

  • An incisive professional with 4.5+ years of total experience in Various Domain.
  • 2+ Yeas of Bigdata testing experience with Hadoop , HDFS, Map Reduce, Sqoop, Pig, Hive, HBase, Spark, Scala.
  • Good Exposure to Big Data/Hadoo...
  • Good Exposure to Big Data/Hadoop Testing. Have knowledge on Hive, HBase
  • Domain knowledge and understanding of Banking and Insurance
  • Proven capabilities as a Test Engineer in leading and managing projects, gathering requirements and preparing functional specifications
  • An effective communicator with excellent management skills and ability to relate to people at any level of business
  • Experienced in Execution of Test Cases and preparation of Test Data Manually
  • Good understanding of code versioning tools like Git, build tool like Maven, Jenkins
  • Knowledge of agile methodology for delivering software solutions
  • Hands on experience in various big data application phases like data ingestion, data analytics and data visualization
  • Experience in creating tables, partitioning, bucketing, loading and aggregating data using Hive
  • Perform the data quality checks on the input data and publish the results
  • Monitor and tune the performance of the individual module and overall system

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Positions

Portfolio Projects

Annual Assumption

https://www.metlife.com

Company

Annual Assumption

Role

QA Tester

Description

Responsibilities:

 

  • Test Plan preparation and Review.
  • Creation of Estimations (L0/L1/L2), Resource Planning (Consolidated Resource planning), Test Plans and Test Closure Reports.
  • Involve in Frontend (Application) as well as backend (ETL) testing.
  • Involve in ETL (Extract >> Transform >> Load) testing as well as E2E testing.
  • Good Exposure to Big Data/Hadoop Testing. Have knowledge on Hive, HBase & Solr.
  • Review of SRS, FRD document and Preparing Test data as per Requirements.
  • Preparing Test cases against System Requirement Specification or change requests.
  • Involved in Test Execution (Sending Daily Status & Weekly Status Reports to Clients)
  • Worked with Components like input file, output file and component for Partitioning and repartitioning etc.
  • Defect management related activities like preparing defect logs, updating the defect logs after regression testing.
  • Preparing the daily and weekly status report.
  • Reported test results and bugs found during testing effectively.
  • Checked the full dataflow of the orders per system test plan.
  • Cross checked the database to see that the correct credentials of the orders.

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Company

HKFPS

Role

QA Tester

Description

Responsibility:

  • Wrote different pig scripts to clean up the ingested data and created partitions for the daily data.
  • Import data using Sqoop into Hive and Hbase from existing SQL Server.
  • Support code/design analysis, strategy development and project planning.
  • Create reports for the BI team using Sqoop to export data into HDFS and Hive.
  • Develop multiple MapReduce jobs in Java for data cleaning and preprocessing.
  • Involve in Requirement Analysis, Design, and Development.
  • Export and Import data into HDFS, HBase and Hive using Sqoop.
  • Involve in create Hive tables, loading with data and writing Hive queries which will run internally in MapReduce way.
  • Work closely with the business and analytics team in gathering the system requirements.
  • Analyzing and Developing Spark programs using Scala API's to compare the performance of Spark with Hive and SQL.

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Global Cash Plus

Company

Global Cash Plus

Role

QA Tester

Description

  • Installed and configured Hadoop MapReduce, HDFS, Developed multiple MapReduce jobs in java for data cleaning and preprocessing.
  • Migration of ETL processes from Oracle to Hive to test the easy data manipulation.
  • Responsible for developing data pipeline using Sqoop, MR and Hive to extract the data from weblogs and store the results for downstream consumption.
  • Worked with HiveQL on big data of logs to perform a trend analysis of user behavior on various online modules.

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Verifications

  • Phone Verified

Preferred Language

  • English - Fluent

  • Hindi - Fluent

Available Timezones

  • Mountain Daylight [UTC -6]

  • Central Daylight [UTC -5]

  • Eastern Daylight [UTC -4]

  • Pacific Daylight [UTC -7]

  • New Delhi [UTC +5]

  • China (West) [UTC +6]

  • Singapore [UTC +7]

  • Hong Kong (East China) [UTC +8]

  • Dubai [UTC +4]

  • Australian EDT [UTC +11]

  • Further EET [UTC +3]

  • Eastern EST [UTC +3]