SAI NAG  ·  Lead Azure Data Engineer  ·  10+ yrs

Principal
10+ years experienceremote
Available within 48 hrs

Built for

HaleonGSKASSURANT SolutionsHewlett PackardMetagenics

About SAI

Sai is a Cloud Engineer with 10+ years of experience specializing in Azure Data solutions, including ETL and data warehousing. He has a proven track record in designing and implementing robust data pipelines and cloud-native solutions.

10+ years of commercial experience in

Logistics & Supply ChainManufacturing & IndustrialSaaS / B2BInsurance

Skills(13)

Azure Data FactoryAzure Data BricksSQL ServerAzure DevOpsPySparkPandasAzure Data Lake Store Gen2SSISAzure Blob StorageSSRSSQL Server AgentTFSVisual Studio

Why hire SAI?

Production deploy authorityMentored 5+ juniorsLed client interactions

Designed and deployed Azure Data Factory pipelines for varied data sources, ensuring reliable data ingestion.

Engineered Azure Data Bricks notebooks for advanced data transformations, optimizing analytics.

Implemented CI/CD pipelines using Azure DevOps, facilitating automated deployments and migrations.

Migrated on-premises SSIS packages to Azure Data Factory, modernizing ETL workflows.

Provided technical guidance to teams, ensuring successful project delivery and bug resolution.

Successfully migrated SSIS Packages to Azure Data Factory, modernizing ETL workflows.

Developed complex T-SQL Stored Procedures, Views, and Functions for comprehensive database management.

Implemented CI/CD pipelines using Azure DevOps, enhancing deployment efficiency.

Project highlights(7)

Haleon NA VeevaSafety Bundle – Freelancer

Overview: This project involved working for a multinational pharmaceutical company, focusing on data related to a safety bundle. Responsibilities: Involved in the design, development, and bug fixing phases of the project. Created Azure Data Factory pipelines to copy data from API sources to ADLS Gen2 in CSV format. Developed multiple Azure Data Bricks notebooks using PySpark and Pandas to extract and transform CSV data into delta tables. Loaded transformed data into a data warehouse using a medelian architecture and created views for reporting.

Azure Data FactoryAzure Data BricksSQL ServerAzure Data Lake Store Gen2PySparkPandasAzure DevOps

Key outcomes:

  • Successfully implemented API to ADLS data ingestion pipelines.

  • Transformed CSV data to delta tables for enhanced data analytics.

  • Deployed Azure services to higher environments via automated DevOps pipelines.

GSK-Code Orange – Developer

Overview: This project supported a multinational pharmaceutical company, focusing on data-related operations and system enhancements. Responsibilities: Involved in the development and bug fixing phases. Created Data Domain Provisioning for Azure Data Factory, Azure Data Bricks, and SQL Server in Azure DevOps via PowerShell. Applied ACLs to containers and folders in ADLS Gen2 to manage data access.

Azure Data FactoryAzure Data BricksSQL ServerAzure DevOps

Key outcomes:

  • Implemented data domain provisioning for key Azure services.

  • Enhanced data security by applying ACLs in ADLS Gen2.

GSK - AMARS Tech Refresh – Developer

Overview: This project involved a technology refresh for a multinational pharmaceutical company, focusing on updating and enhancing data systems. Responsibilities: Involved in the design, development, and bug fixing phases. Created Azure Data Factory pipelines to copy data from On-Prem SQL Server to ADLS Gen2 in CSV format.

Azure Data FactoryAzure Data BricksSQL Server

Key outcomes:

  • Successfully migrated on-premises SQL Server data to Azure Data Lake Store Gen2.

  • Enhanced reporting capabilities through delta table views.

BI-AMS (ASSURANT SOLUTIONS) – Developer

Overview: This project focused on business intelligence for an insurance company offering various specialty and niche-market insurance products. Responsibilities: Interacted with onsite personnel for requirements clarification and analyzed functional specifications with managers and leads.

SQL ServerSSIS

Key outcomes:

  • Designed and implemented a robust BI solution on SQL Server 2014.

  • Automated data export/import and warehousing processes using SSIS packages.

Metagenics

Metagenics — nutrigenomic data company + Azure Data Factory pipelines from On-prem to data warehousing.

Azure Data FactorySQL ServerAzure Blob Storage

Key outcomes:

  • Established a multi-stage data ingestion pipeline from on-premises to DWH using Azure Data Factory.

  • Ensured data quality and integrity through comprehensive unit testing of ADF pipelines.

Industry experience

Logistics & Supply Chain

1 project
  • •Haleon NA VeevaSafety Bundle— FreelancerAzure Data Factory · Azure Data Bricks · SQL Server · Azure Data Lake Store Gen2 +3

Manufacturing & Industrial

4 projects
  • •Haleon NA VeevaSafety Bundle— FreelancerAzure Data Factory · Azure Data Bricks · SQL Server · Azure Data Lake Store Gen2 +3
  • •GSK-Code Orange— DeveloperAzure Data Factory · Azure Data Bricks · SQL Server · Azure DevOps
  • •GSK - AMARS Tech Refresh— DeveloperAzure Data Factory · Azure Data Bricks · SQL Server
  • •MetagenicsAzure Data Factory · SQL Server · Azure Blob Storage

SaaS / B2B

Reported in resume

Insurance

2 projects
  • •BI-AMS (ASSURANT SOLUTIONS)— DeveloperSQL Server · SSIS
  • •BI-AMS (ASSURANT SOLUTIONS)SQL Server · SSIS · SSRS · SQL Server Agent +2

Ready to work with SAI?

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

At a Glance

Experience10+ years
Work moderemote
Starting from₹1.8 L/mo
Direct hirePossible
Start within48 hours
From₹1.8 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 ownerCode reviewerMentor / leads juniors
VerifiedVetted by Witarist
Technical skills assessed & verified
Background & identity checked
English communication verified
Ready to onboard in 48 hours

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SAI NAG

Azure Lead