Deepak  ·  Senior Azure Data Engineer  ·  5+ yrs

Mid-Level
India5+ years experienceremote
Available within 48 hrs

About Deepak

Deepak Chaudhary is an experienced Azure Data Engineer specializing in ETL development and data pipeline management. With a strong background in Azure Data Factory, Databricks, and PySpark, he has successfully led projects that optimize data processes and improve business outcomes. His expertise includes automating workflows, migrating on-premises systems to the cloud, and developing analytics dashboards that drive decision-making.

Core expertise

AD
Azure Data Factory
cloud
9/10
Databricks
cloud
9/10
PySpark
language
9/10
Python
language
8/10
SQ
SQL
language
8/10

Additional skills(6)

Azure DatabricksPySparkPythonPower BIAzure Data FactoryMachine Learning

Why hire Deepak?

Production deploy authorityLed customer segmentation project

Automated ETL processes across millions of rows of data, significantly reducing manual workload.

Successfully migrated on-premises ETL processes to the Azure cloud platform, enhancing scalability.

Implemented monitoring and alerting mechanisms for data pipelines, improving issue resolution time.

Automated ETL processes across millions of rows of data, reducing manual workload by 40%.

Successfully led migration of on-premises ETL processes to the Azure cloud platform, resulting in improved scalability, reliability, and cost-efficiency.

Implemented automated monitoring and alerting mechanisms for data pipelines, reducing time to identify and resolve issues by 30%.

Project highlights(2)

Sales Analytics Dashboard – Data Engineer

Overview: Developed a sales analytics dashboard providing real-time visibility into key sales metrics. Responsibilities: Designed and built the dashboard using Azure Databricks, PySpark, and Power BI. Integrated data from multiple sources including CRM systems and transaction databases. Implemented data preprocessing and transformation pipelines to prepare the data for analysis.

Azure DatabricksPySparkPower BIPython

Key outcomes:

  • Provided real-time visibility into key sales metrics.

  • Helped stakeholders make informed business decisions.

Customer Segmentation and Personalization – Project Lead

Overview: Led a project to perform customer segmentation and personalization for a retail client. Responsibilities: Utilized Azure Data Factory to ingest and process customer data from various channels. Implemented machine learning algorithms using PySpark to segment customers based on behavior and demographics.

Azure Data FactoryPySparkPythonMachine Learning

Key outcomes:

  • Resulted in a 15% increase in customer engagement.

  • Achieved a 10% uplift in sales revenue.

5+ years of industry experience

Manufacturing & Industrial1 project
  • •Customer Segmentation and Personalization— Project LeadAzure Data Factory · PySpark · Python · Machine Learning

Ready to work with Deepak?

Onboard within 48 hours. No long hiring cycles, no recruiter middleman.

At a Glance

LocationIndia
Experience5+ years
Work moderemote
Direct hirePossible
Start within48 hours
From$1,940/ month

Single contract. Billed in USD.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman

Top Skills

Azure Data Factory
9/10
Databricks
9/10
PySpark
9/10
Python
8/10
SQL
8/10
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Owns production deploysSystem owner
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Deepak

Python Developer