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Clients rate Toptal Azure Data Factory developers 4.9 / 5.0 on average based on 927 reviews.
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Ty Nijjar

Azure Data Factory Developer
UTC-06:00
United States
Toptal Member Since March 8, 2019

Ty is a seasoned IT professional with over 20 years of experience implementing data warehousing and business intelligence solutions around the globe as a data engineer and data architect. His expertise includes Azure Data Factory, Azure Databricks, Azure Synapse, ETL, and data warehousing.

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Vishnu Vardhan Reddy

Azure Data Factory Developer
UTC-06:00
United States
Toptal Member Since April 22, 2026

Vishnu is a senior data engineer with over eight years of experience building scalable cloud data solutions on Azure and AWS. He specializes in Databricks, Snowflake, Synapse Analytics, Azure Data Factory (ADF), AWS Glue, Redshift, PySpark, Python, and SQL. With expertise in ETL/ELT pipelines, metadata-driven frameworks, and data modeling, Vishnu focuses on delivering high-quality, analytics-ready data and optimizing large-scale processing.

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Bhavana Jagarlapudi

Azure Data Factory Developer
UTC-06:00
United States
Toptal Member Since September 22, 2025

Bhavana is a senior data engineer with over 8 years of experience building scalable cloud data solutions. She specializes in Azure Databricks, Azure Data Factory, PySpark, SQL, Delta Lake, Snowflake, and AWS. She has extensive experience designing ETL/ELT pipelines, modernizing data platforms, optimizing data processing, and delivering reliable data solutions for analytics, reporting, and business decision-making.

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Suresh Makkena

Azure Data Factory Developer
UTC-05:00
Canada
Toptal Member Since December 2, 2024

Suresh is a senior data engineer with six years of experience in Azure and 13 years of overall IT experience. He has collaborated with top-tier firms like AT&T, Zurich Farmers, Mylan Pharmaceuticals, and Raas Infotek. He is proficient in Azure Data Factory for designing and implementing data integration pipelines and Azure Databricks for scalable data solutions. Suresh is adept at enhancing data management through Delta Live Tables and Unity Catalog.

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Goutham Kumar

Azure Data Factory Developer
UTC-05:00
Canada
Toptal Member Since July 31, 2024

With 10+ years of data engineering experience, Goutham has crafted scalable solutions using AWS and Azure. He's developed Azure-based ETL pipelines for Bell Canada using Power BI and implemented an ETL pipeline with Azure Data Factory, Databricks, Snowflake, and Power BI for Walmart. Goutham also used Azure ML for predictive models at the National Bank of Canada, optimized data with Azure SQL and .NET, and created AWS data lake architectures with RDS, S3, Glue, and Tableau at HSBC.

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Shashank Ranadive

Azure Data Factory Developer
UTC-05:00
Canada
Toptal Member Since October 4, 2021

Shashank is a results-oriented data and business intelligence professional with 20+ years of experience and a consistent track record delivering enterprise-scale data platforms and BI solutions. In the last five years, he worked as a lead architect, designer, and lead developer to architect, design and build several BI solutions for provincial government using Microsoft cloud-based advanced analytics stack.

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Jagdish Wagh

Azure Data Factory Developer
UTC+01:00
Germany
Toptal Member Since July 11, 2022

Jagdish is a data engineer who has worked in different domains, including retail, insurance, trading, and manufacturing. He has extensive experience implementing ETL pipelines (Databricks, Azure Data Factory, Informatica PC, Matillion, and Microsoft Fabric) and creating data models/warehouses using Data Vault, Medallion, and Kimball principles. Jagdish has worked on AWS and Azure cloud and implemented a cloud data warehouse using AWS Redshift, Snowflake, Azure Databricks, and Microsoft Fabric.

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Mahalakshmi Srinivasan

Azure Data Factory Developer
UTC+04:00
United Arab Emirates
Toptal Member Since April 29, 2026

Mahalakshmi is a senior data engineer with 13 years of experience building and optimizing large-scale data pipelines and analytics solutions. She is proficient in PySpark, Databricks, Azure Data Factory, Informatica, and back-end systems such as Oracle, Teradata, and Delta Lake. Mahalakshmi is highly skilled in Python, Shell scripting, and automation to enhance performance, data quality, and operational efficiency.

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Chandra Mohan Amineni

Azure Data Factory Developer
UTC+04:00
United Arab Emirates
Toptal Member Since March 25, 2026

Chandra is a results-oriented data engineer with more than a decade of experience in building scalable ETL pipelines and analytics solutions using Azure Data Factory and Azure Databricks. He has worked across manufacturing, financial, banking, and retail domains. Chandra delivers reliable data solutions and dashboards using Power BI to support business insights and decision-making.

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Bibeksheel Kaur

Azure Data Factory Developer
UTC+05:00
India
Toptal Member Since May 20, 2020

Bibeksheel has over 12 years of experience in the IT industry, specializing in the design, development, maintenance, and support of database applications across various platforms and cloud implementations. She is skilled in Microsoft SQL Server, SSIS, Azure Data Factory, Azure Databricks, and Azure Data Lake Storage, and proficient with Snowflake, AWS, and Amazon S3. A quick learner and self-motivated professional, Bibeksheel excels in multitasking and consistently delivers high-quality results.

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Edison Zhu

Azure Data Factory Developer
UTC+10:00
Australia
Toptal Member Since July 7, 2021

Edison is a seasoned BI developer and data engineer with 19 years of experience across diverse industries. Specializing in Azure and Google Cloud Platform (GCP), he excels in designing high-performance BI solutions using tools like Azure Data Factory, Python, Power BI, Tableau, Databricks, and GCP BigQuery. An expert in data architecture, dimensional modeling, and optimizing large-scale data warehouses, Edison delivers scalable, high-quality solutions backed by strong technical expertise.

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Despite accelerating demand for coders, Toptal prides itself on almost Ivy League-level vetting.

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Testimonials

How to Hire Remote Azure Data Factory Developers Through Toptal

1

Talk to One of Our Client Advisors

A Toptal client advisor will work with you to understand your goals, technical needs, and team dynamics.
2

Work With Hand-selected Talent

Within days, we’ll introduce you to the right Azure Data Factory developer for your project. Average time to match is under 24 hours.
3

The Right Fit, Guaranteed

Work with your new remote Azure Data Factory developer for a trial period (pay only if satisfied), ensuring they’re the right fit before starting the engagement.

EXCEPTIONAL TALENT

How We Source the Top 3% of Azure Data Factory Developers

Our name “Toptal” comes from Top Talent—meaning we constantly strive to find and work with the best from around the world. Our rigorous screening process identifies experts in their domains who have passion and drive.

Of the thousands of applications Toptal sees each month, typically fewer than 3% are accepted.

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FAQs

  • Typically, you can hire Azure Data Factory developers with Toptal in about 48 hours. For larger teams of talent or full end-to-end project delivery, timelines may vary. Our talent matchers are highly skilled in the same fields they’re matching in—they’re not recruiters or HR reps. They’ll work with you to understand your goals, technical needs, and team dynamics, and match you with ideal candidates from our vetted global talent network.

    Once you select your remote Azure Data Factory developer, you’ll have a no-risk trial period to ensure they’re the perfect fit. Our matching process has a 98% trial-to-hire rate, so you can rest assured that you’re getting the best fit every time.

  • To hire the right Azure Data Factory developer, it’s important to evaluate a candidate’s experience, technical skills, and communication skills. You’ll also want to consider the fit with your particular industry, company, and project. Toptal’s rigorous screening process ensures that every member of our network has excellent experience and skills, and our team will match you with the perfect Azure Data Factory developers for your project.

  • At Toptal, we thoroughly screen our remote Azure Data Factory developers to ensure we only match you with the highest caliber of talent. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut.

    In addition to screening for industry-leading expertise, we also assess candidates’ language and interpersonal skills to ensure that you have a smooth working relationship.

    When you hire Azure Data Factory developers with Toptal, you’ll always work with world-class, custom-matched Azure Data Factory developers ready to help you achieve your goals.

  • You can hire remote Azure Data Factory developers on an hourly, part-time, or full-time basis. Toptal can also manage the project end-to-end based on your specific requirements as part of our Consulting and Services offerings. Whether you hire a Azure Data Factory developer for a full- or part-time position, you’ll have the control and flexibility to scale your team up or down as your needs evolve. Our Azure Data Factory developers can fully integrate into your existing team for a seamless working experience.

  • We make sure that each engagement between you and your Azure Data Factory developer begins with a trial period of up to two weeks. This means that you have time to confirm the engagement will be successful. If you’re completely satisfied with the results, we’ll bill you for the time and continue the engagement for as long as you’d like. If you’re not completely satisfied, you won’t be billed. From there, we can either part ways, or we can provide you with another Azure Data Factory developer who may be a better fit and with whom we will begin a second, no-risk trial.

Toptal Lets You Hire Fast,
With Unparalleled Success

  • Trusted Talent Only

    Trusted Talent Only

    Our talent network is composed of thoroughly vetted professionals who ramp up quickly, function as essential team members, and deliver results.

  • Precise Matching

    Precise Matching

    Our experienced talent matchers specialize in identifying talent that fits your needs. They work to understand your exact requirements and hand-select the best professionals for your project.

  • Seamless Hiring

    Seamless Hiring

    We handle all aspects of billing, payments, and NDAs, streamlining the hiring process so you can focus on innovation, not overhead.

  • No-risk Trial Period

    No-risk Trial Period

    We want to be sure your engagement is a total success, so we offer a no-risk trial period. Work with your new hire for up to two weeks and pay only if you’re satisfied.

  • Effortless Scaling

    Effortless Scaling

    We help you scale your team up or down as needed, with quick and efficient hiring in under 48 hours.

  • Flexible Engagements

    Flexible Engagements

    Our flexible engagement models allow you to choose the engagement type that suits your needs and adjust it anytime: hourly, part time, or full time.

Top Azure Data Factory Developers Are in High Demand.

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