Summary
Overview
Work History
Education
Skills
Timeline
Generic

REETHESH KAPARABOINA

Big Data /ETL Test Engineer
Hyderabad

Summary

Experienced IT professional with 7.5+ years in Big Data, ETL, and Cloud Testing across banking, healthcare, travel, and insurance domains. Proficient in Hadoop, AWS, SQL, and automation using Shell/Python. Skilled in validating data pipelines, conducting end-to-end testing, and ensuring high data quality across diverse platforms. Agile-savvy, cross-functional team collaborator with a passion for scalable, efficient QA solutions.

Overview

8
8
years of professional experience

Work History

QA Test Engineer

Unisys
03.2020 - Current
  • Serving as a Big Data QA Engineer within the Data Ingestion team, responsible for analyzing user stories and assessing cross-platform impacts during business requirement meetings.
  • Designing comprehensive test artifacts including test scenarios, plans, cases, and results documentation aligned with functional specifications from Data Analysts and Business Analysts.
  • Executing end-to-end ETL testing for validating table-level data accuracy and integrity in enterprise Data Warehouses using advanced SQL techniques.
  • Participating in Agile ceremonies such as sprint planning, retrospectives, and daily stand-ups to ensure timely delivery and prioritization of tasks.
  • Experienced in authoring and managing test cases, raising defects, and tracking progress using Rally (Agile Central).
  • Developed and utilized pre-sanity schema validation scripts to conduct source-to-target data checks, including row count matching, duplicate detection, and comprehensive SQL-based audits.
  • Environment: Microsoft SQL Server Management Studio 20017/2018, Git hub

AWS Cloud Test Engineer

Compunnel
11.2019 - 02.2020
  • Worked as Big Data QA Engineer within the Data Testing team, evaluating user stories and assessing multi-platform impacts in requirement analysis sessions.
  • Created test strategies and documented test scenarios, plans, cases, and results as per functional specifications from Business Analysts and Data Analysts.
  • Automated S3 file validations from Hadoop to AWS using Python scripts to ensure accurate data ingestion.
  • Executed performance benchmarking in Databricks by configuring and evaluating Spark node variations.
  • Performed validation of file counts on AWS EC2 instances using custom Python scripts.
  • Validated test files stored in Azure S3 using Azure Data Factory pipelines, ensuring accurate data flow.
  • Executed mainframe job runs for seamless data migration from source systems to staging targets in ETL workflows.
  • Participated in Agile ceremonies including sprint planning, retrospectives, and daily stand-ups to meet delivery targets.
  • Logged and managed test cases and defect lifecycle using HP ALM and TFS, ensuring traceability and resolution of issues.
  • Environment: Windows 10, Data bricks, CA Agile Central, SQL server Management studio, HP ALM 12.21, TFS 2018, HDP 2.2, Spark, Mongo DB, UNIX, Putty, WinSCP, Hue, Hadoop, AWS, Python, S3 BIG SQL, ORACLE.

Big Data QA Test Engineer

Key bank
04.2019 - 08.2019
  • Analyze business requirements and user stories during stakeholder meetings to assess cross-platform impacts.
  • Support business and functional acceptance testing by ensuring technical specifications align with business objectives; collaborate with onshore and offshore teams to uphold best practices.
  • Design and document test scenarios, test cases, test plans, and results in alignment with inputs from Data Analysts and Business Analysts.
  • Execute field-to-field and count validations between ALS (source) and OBS (target) platforms based on defined mapping and transformation rules to maintain data integrity.
  • Process daily flat file ingestion from multiple external sources into Hadoop’s target zone; perform data comparisons using SQL and SAS scripts.
  • Conduct end-to-end data validation on BIGSQL Hadoop tables using DBeaver and IBM DB2, ensuring accurate transfer from ALS to OBS (Oracle Banking Servicing).
  • Participate in Agile ceremonies including cross-functional sprint planning, retrospectives, and prioritization meetings to ensure timely delivery.
  • Utilize HP ALM and TFS for defect tracking and test case management.
  • Environment: Windows 10, CA Agile Central, SQL server Management studio, DB2 Studio, DBeaver, IBM Mainframe Oracle SQL, Python, Teradata SQL 16.0, HP ALM 12.21, TFS 2018, HDP 2.2, UNIX, Putty, WinSCP, Hue, Hadoop, Ab Initio, SAS Grid, BIG SQL, ORACLE.

Hadoop/ ETL Test Engineer

Ford Motor Company
02.2017 - 03.2019
  • Worked on data validation and cleansing using Hive queries and Pig scripts to ensure high-quality analytics outcomes.
  • Developed end-to-end test scenarios and plans aligned with functional and business requirements.
  • Automated data testing workflows using Alteryx, optimizing both efficiency and accuracy.
  • Performed GDPR functional testing, enabling compliant data purging in HDFS systems per European regulations.
  • Validated Day 1/Day 2 data extracts and outbound feeds through rigorous delta analysis.
  • Executed ETL workflows, including data loading from Linux file systems to HDFS and transformations via Hadoop tools.
  • Authored complex SQL queries for data validation across source and target systems.
  • Managed data transfers between Oracle and HDFS using Sqoop, ensuring seamless integration.
  • Structured data layouts in Hive with partitions and bucketing enabled by ACID properties.
  • Migrated HBase configurations and frameworks from DTSF to DTT (2.0.1), supporting Spark-to-Hive transitions.
  • Documented and tracked test cases and defects using HP ALM.
  • Environment: windows 10, CA Agile Central, SQL server Management studio, DB2 Studio, MIT Kerberos, Oracle SQL, Python, Teradata SQL 16.0, HP ALM 12.21, HDP 2.2, Ambari, UNIX, Putty, WinSCP, Hue, Spark, Hadoop, Alteryx, Accurev, Hive QL.

Education

Master of Science - Computational Science

Virginia International University
Indiana United States Of America
04.2001 -

Skills

Hadoop

hive

spark

HBase

oozie

scoop

SQL

No SQL

Big data applications testing

AWS Cloud Testing

UI testing

AWS S3

Cloud watch

Dynamo DB

Lambda

Glue

Mac OS X 1095

Windows 2011/2008/Vista/2003/XP/2000/NT

Linux

Unix

Apache Tomcat 5x

BEA WebLogic 8x

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Timeline

QA Test Engineer

Unisys
03.2020 - Current

AWS Cloud Test Engineer

Compunnel
11.2019 - 02.2020

Big Data QA Test Engineer

Key bank
04.2019 - 08.2019

Hadoop/ ETL Test Engineer

Ford Motor Company
02.2017 - 03.2019

Master of Science - Computational Science

Virginia International University
04.2001 -

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REETHESH KAPARABOINABig Data /ETL Test Engineer