Durgesh Kumar

Senior QA Enginneer with 4+ years in Big Data & ETL Testing.

LAGOZON TECHNOLOGIES

Rayat & Bahra Institute of Engineering & Bio-Technology, Kharar

Delhi, Delhi, India

Since April 27, 2026

About

With over 5+ years of experience as a Big Data QA / ETL Tester, I specialize in ETL Testing, ELT Validation, Data Warehouse (DWH) Testing, and Cloud Data Platform Testing across GCP, Azure, and AWS environments. I have hands-on experience validating complex ETL/ELT pipelines, data transformations, data migration, and end-to-end DWH workflows in Big Data ecosystems. Skilled in working with: Google Cloud Platform (GCP) — BigQuery data validation, cloud data testing, Microsoft Azure — Azure Data Factory (ADF), Azure SQL validation, AWS Cloud — Redshift, S3 data validation, Glue ETL testing.

Top Skills

GCP

Skills

GCPAzureAWSBigQueryApi TestingJiraPower BIEtl EltBig DataQlikviewPythonPysparkAws GlueSQLTableauData Migration

Education

Rayat & Bahra Institute of Engineering & Bio-Technology, Kharar

B.Tech/B.E. · Computer Science and Engineering (CSE)

N/A – June 30, 2021

Experience

LAGOZON TECHNOLOGIES

Senior Big Data Tester

November 1, 2025 – Present

Conduent LLC

Software Testing Engineer 2

April 1, 2023 – November 1, 2025

Buck Capacity

QA Analyst

February 1, 2022 – April 1, 2023

Bridging Technologies

QA Engineer

May 1, 2021 – February 1, 2022

Key Strengths

Extensive experience (4+ years) in Big Data and ETL testing, directly relevant to a Senior QA Engineer role.
Proficiency in SQL for complex data validation, reconciliation, and anomaly detection across large datasets.
Hands-on experience with major cloud platforms (GCP, AWS, Azure) and data warehousing solutions (Snowflake, DWH concepts like facts, dimensions, SCDs).
Demonstrated ability to develop and implement Python and SQL automation scripts for ETL pipeline testing.
Experience with test management (TestRail) and defect tracking (JIRA) within Agile environments.
Involvement in CI/CD pipeline integration for continuous data quality assurance.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 raises severe concerns about the candidate's cultural fit, including work attitude and ability to collaborate effectively within a team. This requires comprehensive re-evaluation before any further consideration.

Soft Skills & Operational Fit

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Key Strengths

Extensive experience (4+ years) in Big Data and ETL testing, directly relevant to a Senior QA Engineer role.
Proficiency in SQL for complex data validation, reconciliation, and anomaly detection across large datasets.
Hands-on experience with major cloud platforms (GCP, AWS, Azure) and data warehousing solutions (Snowflake, DWH concepts like facts, dimensions, SCDs).
Demonstrated ability to develop and implement Python and SQL automation scripts for ETL pipeline testing.
Experience with test management (TestRail) and defect tracking (JIRA) within Agile environments.
Involvement in CI/CD pipeline integration for continuous data quality assurance.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit