Deepak  ·  Senior Azure Data Engineer  ·  5+ yrs

Mid-Level
5+ years experienceremote
Available within 48 hrs

Proof of scale

40% reduction in manual workload
15% increase in customer engagement
10% uplift in sales revenue
40% reduction in manual workload15% increase in customer engagement10% uplift in sales revenue

About Deepak

Deepak is a Data Engineer with 5+ years of experience in designing and maintaining data pipelines using Azure technologies. He has a proven track record in automating ETL processes and enhancing data quality.

5+ years of commercial experience in

Manufacturing & Industrial

Skills(8)

Azure Data FactoryDatabricksPySparkPythonSQLAzure DatabricksPower BIMachine 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.

Industry experience

Manufacturing & Industrial

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

Ready to work with Deepak?

Schedule an interview and onboard within 48 hours. No long hiring cycles.

At a Glance

Experience5+ years
Work moderemote
Starting from₹1.6 L/mo
Direct hirePossible
Start within48 hours
From₹1.6 L/ month

Single contract. No agency markup confusion.

Typically responds within 4 business hours.

5-day replacement guarantee
48-hour onboarding, single invoice
Direct chat — no recruiter middleman
Seniority signals
Owns production deploysSystem owner
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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Deepak

Python Developer