How are Toptal AWS Data Pipeline architects different?

At Toptal, we thoroughly screen our AWS Data Pipeline architects to ensure we only match you with talent of the highest caliber. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.

Can I hire AWS Data Pipeline architects in less than 48 hours through Toptal?

Depending on availability and how fast you can progress, you could start working with an AWS Data Pipeline architect within 48 hours of signing up.

What is the no-risk trial period for Toptal AWS Data Pipeline architects?

We make sure that each engagement between you and your AWS Data Pipeline architect 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 expert who may be a better fit and with whom we will begin a second, no-risk trial.

Hire the Top 3% of Freelance AWS Data Pipeline Architects

Toptal is a marketplace for dedicated AWS Data Pipeline Architects. Top companies and startups choose Toptal AWS Data Pipelines freelancers for their mission-critical AWS Data Pipelines development projects.

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Hire Freelance AWS Data Pipeline Architects

View Innocent

Innocent Musanzikwa

Freelance AWS Data Pipeline Architect

CanadaToptal Member Since August 10, 2021

Inno is a seasoned data engineer and developer who's worked at IRI—a top retail data analytics company—in Africa and North America for the past decade and as a freelance consultant for the past couple of years. As a SQL and ETL developer, he has created quality data warehouses using industry-standard techniques like Kimball and DataVaults. As a data engineer, Inno has built highly robust and scalable data pipelines both on-premise and on the cloud using several latest cutting-edge technologies.

AWS Data Pipelines SQL PySpark Python Hadoop Apache Hive MySQL SQL Server Integration Services (SSIS)Data Warehousing Data Analysis SQL Server Reporting Services (SSRS)PSQL Data Engineering + more

View Christophe

Christophe Huguet

Freelance AWS Data Pipeline Architect

FranceToptal Member Since April 23, 2021

Christophe is an AWS-certified data engineer with extensive experience building enterprise data platforms. He has strong skills in designing and building cloud-native data pipelines, data lakes, and data warehouse solutions. Team spirit, kindness, and curiosity are essential values that drive Christophe.

AWS Data Pipelines Scala Spark SQL Data Pipelines ETL Terraform Amazon S3 (AWS S3)Amazon Athena PostgreSQL Python Amazon Web Services (AWS)Data Engineering + more

View Sidney

Sidney Park

Freelance AWS Data Pipeline Architect

New ZealandToptal Member Since February 12, 2022

Sidney is an experienced business intelligence and data engineer. His expertise includes BI dimensional modeling, data pipelines, dashboards, reports, and handling API-related data. He has served as team Scrum Master, led migration and upgrade projects, mentored team members, and was recognized as the top employee for his ability to build excellent client relationships.

AWS Data Pipelines SQL Python SQL Server BI Microsoft Power BI Business Intelligence (BI)SQL Server 2012 Data Analysis Data Visualization Data Pipelines ETL Data Engineering Amazon Web Services (AWS)+ more

View Steven

Steven Rouk

Freelance AWS Data Pipeline Architect

United StatesToptal Member Since October 6, 2021

Steven is an expert Python and SQL data engineer with strong data science and data analysis capabilities and eight years of experience. He has led the development of technical solutions, and his most recent role was as a senior member of a data engineering team at a Fortune 100 company. The team processed billions of rows of data in a Snowflake ecosystem with thousands of tables, and the client regarded Steven as one of the highest contributing members of the 10+-member team.

AWS Data Pipelines Python SQL Pandas Data Engineering + more

View Suresh

Suresh Kasipandy

Freelance AWS Data Pipeline Architect

CanadaToptal Member Since August 30, 2021

Part data scientist and part cloud solutions architect, Suresh excels at taking business problems and setting up end-to-end cloud data systems to solve them. Ranging from streaming data pipelines to data lakes to deep learning systems, Suresh leverages the latest tech and cutting-edge approaches to build robust and fault-tolerant systems that help you leverage business value from your data.

AWS Data Pipelines Machine Learning Python Data Mining Natural Language Processing (NLP)TensorFlow Scikit-learn Amazon Web Services (AWS)Data Engineering SQL Data Analysis ETL Data Pipelines + more

View Bin

Bin Wang

Freelance AWS Data Pipeline Architect

AustraliaToptal Member Since December 14, 2021

With 15 years of experience working in the data domain, Bin is passionate about all things data. He has played senior roles in consultancies like McKinsey and Ernst and Young, focusing on building solutions on AWS and Azure. Besides cloud services, he has worked on Databricks, Snowflake, dbt, and Airflow. Bin has spent more than ten years on data modeling and warehouse. He has a rich experience in software engineering with Python and Docker in a machine learning capacity.

AWS Data Pipelines MacOS Linux Windows Python Databricks Docker Amazon Athena Apache Airflow Pandas SAP BW on HANA Spark Data Warehouse Design + more

View Tomasz

Tomasz Zielański

Freelance AWS Data Pipeline Architect

PolandToptal Member Since January 28, 2022

Tomasz is a data engineer with five years of industry experience. He specializes in engineering data pipelines, and he has significant experience in reporting and using machine learning for analytics in banking and fintech. Tomasz excels at using data to solve business challenges, and he often finds that data engineering is the most significant part of a data solution.

AWS Data Pipelines Python 3 SQL Python ETL Data Cleansing Jupyter + more

View Kyle

Kyle Chakos

Freelance AWS Data Pipeline Architect

SpainToptal Member Since February 28, 2023

Kyle has 10+ years of experience in data and machine learning engineering. He has worked at companies of various sizes, but primarily startups, collaborating with teams with almost no data infrastructure and helping them expand or update their architecture into something scalable. With a background in mathematics and engineering, Kyle is also uniquely set up to help data scientists get their projects into production in a scalable way while ensuring accuracy and effectiveness.

AWS Data Pipelines Python ETL PostgreSQL MySQL Amazon Web Services (AWS)Agile Apache Airflow Redshift Amazon S3 (AWS S3)Data Analysis Data Pipelines Data Engineering + more

View Johan

Johan Niklasson

Freelance AWS Data Pipeline Architect

SwedenToptal Member Since October 20, 2022

Johan is a multidisciplinary engineer, working with both software and data engineering. This combination of skills gives him a solid mindset to build and adapt applications for producing or consuming data. Having studied economics in addition to computer science, Johan has a deepened understanding of company goals and priorities from a strategic perspective.

AWS Data Pipelines Python GitHub Django + more

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Przemek Urbanski

Freelance AWS Data Pipeline Architect

PolandToptal Member Since January 19, 2020

Przemek is an exceptionally skilled engineer with a master's degree in computer science. With over 25 years of hands-on experience, Przemek is equipped with a wide range of technical skills and technologies. He has built and led successful projects for complex multi-tier systems and early-stage startups. Przemek worked for the public sector, finances, aerospace agencies, media, ISP, and car manufacturers. His most vital saying is that he is not running away from problems but solving them.

AWS Data Pipelines Embedded Systems Test-driven Development (TDD)C Back-end Development Python C++Django Linux JavaScript REST APIs Git Java + more

View Anish

Anish Chakraborty

Freelance AWS Data Pipeline Architect

SwedenToptal Member Since August 4, 2020

Anish is an experienced software engineer with very deep knowledge of back-end systems, databases, data warehousing, data engineering, and building data-driven products and services. Although he's self-taught in SQL, Scala, and Python, Anish has previously won international SQL coding contests.

AWS Data Pipelines Scala Python SQL Java Apache Spark Data Analysis PostgreSQL GIS Spark Spark SQL ETL Google Cloud Platform (GCP)+ more

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I am more than pleased with our experience with Toptal. The professional I got to work with was on the phone with me within a couple of hours. I knew after discussing my project with him that he was the candidate I wanted. I hired him immediately and he wasted no time in getting to my project, even going the extra mile by adding some great design elements that enhanced our overall look.

Paul Fenley

Director

The developers I was paired with were incredible -- smart, driven, and responsive. It used to be hard to find quality engineers and consultants. Now it isn't.

Ryan Rockefeller

CEO

Toptal understood our project needs immediately. We were matched with an exceptional freelancer from Argentina who, from Day 1, immersed himself in our industry, blended seamlessly with our team, understood our vision, and produced top-notch results. Toptal makes connecting with superior developers and programmers very easy.

Jason Kulik

Co-Founder

As a small company with limited resources we can't afford to make expensive mistakes. Toptal provided us with an experienced programmer who was able to hit the ground running and begin contributing immediately. It has been a great experience and one we'd repeat again in a heartbeat.

Stuart Pocknee

Principal

How to Hire AWS Data Pipeline Architects through Toptal

Talk to One of Our Industry Experts

A Toptal director of engineering will work with you to understand your goals, technical needs, and team dynamics.

Work With Hand-Selected Talent

Within days, we'll introduce you to the right AWS Data Pipeline architect for your project. Average time to match is under 24 hours.

The Right Fit, Guaranteed

Work with your new AWS Data Pipeline architect for a trial period (pay only if satisfied), ensuring they're the right fit before starting the engagement.

FAQs

How are Toptal AWS Data Pipeline architects different?
At Toptal, we thoroughly screen our AWS Data Pipeline architects to ensure we only match you with talent of the highest caliber. Of the more than 200,000 people who apply to join the Toptal network each year, fewer than 3% make the cut. You’ll work with engineering experts (never generalized recruiters or HR reps) to understand your goals, technical needs, and team dynamics. The end result: expert vetted talent from our network, custom matched to fit your business needs.
Can I hire AWS Data Pipeline architects in less than 48 hours through Toptal?
Depending on availability and how fast you can progress, you could start working with an AWS Data Pipeline architect within 48 hours of signing up.
What is the no-risk trial period for Toptal AWS Data Pipeline architects?
We make sure that each engagement between you and your AWS Data Pipeline architect 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 expert who may be a better fit and with whom we will begin a second, no-risk trial.

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All of our talent are seasoned experts who ramp up quickly, readily contribute as core team members, and work with you to minimize onboarding time.
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Hire talent within 48 hours and scale your team up or down as needed, no strings attached.
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We handle all aspects of billing, payments, and NDA’s. Let us take care of the overhead while you focus on building great products.
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Choose the engagement type that suits your needs — hourly, part-time, or full-time — with the ability to change anytime.
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Focus on your project and enjoy support from your dedicated account executive and expert talent matcher.