---
title: "Kumar Vedansh Vivek - Azure Data Engineer in Noida | Tal"
description: "Meet Kumar Vedansh Vivek, Azure Data Engineer | PySpark | Azure Data Factory | Databricks | Delta Lake | ADLS Gen2 | SQL | Power BI | Python | ETL based in Noida."
image: "https://tal.club/meet/kumar-vedansh-vivek/share-image"
---

# Kumar Vedansh Vivek on Tal

## Headline

Azure Data Engineer \| PySpark \| Azure Data Factory \| Databricks \| Delta Lake \| ADLS Gen2 \| SQL \| Power BI \| Python \| ETL

## About

Azure Data Engineer with 4\+ years of hands\-on experience in designing and implementing scalable data pipelines using Azure Data Factory, Databricks \(PySpark\), and Data Lake Gen2\. Proficient in SQL, Python, and Power BI, with a solid understanding of ETL processes, Delta Lake architecture, and performance tuning\. Committed to delivering high\-quality, cloud\-based data solutions that support business insights\. Certified by AnalytixLabs in Excel, SQL, Power BI, and Python, I’ve built interactive dashboards and conducted deep customer segmentation, including identifying high\-spending demographics\. My internship at SkillForge strengthened my skills in financial analysis and credit behavior modeling\. With a Bachelor of Commerce and a keen interest in Data Engineering/analytics, I blend business acumen with technical expertise\. I’m always eager to drive growth through insights\. Let’s connect and explore data\-driven innovation together\!

## Location

Noida

## Work experience

Azure Data Engineer at BLACKHUBBLE, Oct 2024 \- Present · 1 yr 9 mos, Bengaluru, • Architected Azure\-based financial data platform ingesting 5M\+ daily transactions using ADF, Apache Spark, PySpark and Azure Databricks into ADLS Gen2 with Medallion Architecture, enabling automated P&L dashboards and reconciliation\. • Built scalable PySpark and Spark SQL pipelines on Databricks, leveraging Delta Lake and Spark DataFrames to normalize multi\-currency data, deduplicate late events for customer history tracking\. • Designed real\-time fraud detection pipeline using Apache Spark Structured Streaming and Delta Lake, processing transactions with sub\-2\-second latency and reducing chargebacks through anomaly detection on velocity, geo location, and transaction patterns\. • Optimized large\-scale data processing using Spark, PySpark, and SQL, reducing Delta Lake MERGE time significantly and resolving 500M\+ row join issues with partitioning, broadcast joins, and efficient ETL/ELT strategies\. • Developed robust data models using Star Schema in Azure SQL Database and MySQL, ensuring accurate financial reconciliation, data warehousing, and reporting with validation checks, alerting, and compliance\-ready pipelines\.

Azure Data Engineer at PowerLaw Pvt\. Ltd\., Jul 2022 \- Sep 2024 · 2 yrs 3 mos, Ghaziabad, • Designed and implemented scalable ADF pipelines to ingest large\-scale raw data \(customer behaviour, vendor workflows\) into Azure Data Lake Storage Gen2 using scheduled and event\-based triggers\. • Processed and transformed raw data using PySpark in Azure Databricks, applying data cleansing, joins, aggregations and schema mapping for structured, production\-ready datasets\. • Architected Delta Table storage in ADLS Gen2, enabling ACID transactions, time travel, versioning, and high performance downstream querying for analytics workloads\. • Orchestrated end\-to\-end ELT workflows by integrating ADF pipelines with Databricks notebooks, contributing directly to ₹30CR \($3\.5M\) revenue growth and achieving \#1 ranking across 18 Amazon product categories within 90 days\. • Authored optimized SQL queries on Delta datasets to generate business\-critical KPIs supporting executive dashboards and operational decision\-making\.

Data Science Intern at SkillForge, Mar 2022 \- Mar 2022 · 1 mo, Bengaluru, Karnataka, India, ● Identified customers aged 38\-47 as responsible for 24% of all credit card spending, highlighting a key demographic for higher expenditures\. ● Developed a UDF to segment the top 10 customers in each city by repayment amounts, across credit card products \(Gold, Silver, Platinum\) and time periods\. ● Enabled targeted financial strategies through detailed customer segmentation and spending analysis\.

## Education

Bachelor of Commerce \- BCom, Accounting and Finance, Lalit Narayan Mithila University, Darbhanga

Data Science, Analytixlabs

[View the original profile](https://tal.club/meet/kumar-vedansh-vivek)

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