divyansh kumar

DK

Looking for a job

divyansh kumar

@divyanshkumar5

Data Analyst at Amazon who validated data for 20+ business KPIs and Power BI dashboards.

At Amazon, I analyzed and validated 10M+ records across 5+ source systems to support 20+ business KPIs and Power BI dashboards. I used SQL for data validation, reconciliation, and investigation of data discrepancies.

On my Real-Time E-Commerce Streaming Pipeline project, I published JSON events to Azure Event Hubs and processed them with Spark Structured Streaming in Databricks. I also implemented PySpark data transformations and a Delta Lake Bronze-Silver-Gold architecture.

Experience

Work history, roles, and key accomplishments

AM

Data Associate

Sep 2020 - Nov 2025 (5 years 2 months)

Analyzed and validated 10M+ records across 5+ source systems, ensuring data accuracy and reliability for 20+ business KPIs and Power BI dashboards. Executed complex SQL queries for data extraction, validation, reconciliation, and trend analysis.

SQL Pandas Databricks Data Management Data Quality Data Validation QA&QC Power BI Dashboard Development Data Visualization Data Processing Transformation Reporting KPI Analysis Automation Reporting Workflow Stakeholder Coordination

Education

Degrees, certifications, and relevant coursework

IC

Inderprastha Engineering College

Bachelor of Technology, Electrical and Electronics Engineering

2015 - 2019

Grade: 65%

Pursued a Bachelor of Technology in Electrical and Electronics Engineering, achieving a percentage of 65%.

DS

DAV Public School

High School Diploma, General Studies

Grade: Class XII: 78%, Class X: 8.2 CGPA

Completed Class XII with 78% and Class X with 8.2 CGPA.

Tech stack

Software and tools used professionally

Pandas

PySpark

Databricks

Python

Microsoft Excel

SQL

Delta Lake

Power BI

Availability

Looking for a job

Location

India

Authorized to work in

Salary expectations

1032k+ INR

Job categories

Data Analyst Data Associate

Skills

SQL Power BI Data Analysis Data Validation Data Quality Data Reconciliation Dashboard Development KPI Analysis Databricks PySpark Python Pandas DAX Azure Data Factory Azure Event Hubs

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