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Toptal is a marketplace for top big data architects. Top companies and startups choose Toptal big data freelancers for their mission-critical software projects.
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Meet Big Data Architects in Our Exclusive Network
Featured Talent

Praveen Raju
Big Data Architect
Praveen is an experienced data engineer with eight years of experience designing scalable data solutions across various industries. He's proficient in big data technologies like Apache Spark, Hadoop, and AWS and specializes in data workflow development with Scala and Java. Skilled at Amazon RDS, Amazon S3 (AWS S3), EMR, Neptune, and Microsoft Power BI, Praveen reduces processing times and costs while enhancing business outcomes through Agile methodologies and DevOps practices.

Yuriy Margulis
Big Data Architect
Yuriy is a data specialist with over 15 years of experience in data warehousing, data engineering, feature engineering, big data, ETL/ELT, and business intelligence. As a big data architect and engineer, Yuriy specializes in AWS and Azure frameworks, Spark/PySpark, Databricks, Hive, Redshift, Snowflake, relational databases, tools like Fivetran, Airflow, DBT, Presto/Athena, and data DevOps frameworks and toolsets.

Hanee' Medhat Shousha
Big Data Architect
Hanee' is a data expert who enjoys working on data analytics and segmentation to better target customers with campaigns. He is an experienced Java developer who has built enterprise applications that interact with millions of customers daily. Hanee' also has experience working with big data, Spark, and Python.

Denis Volk
Big Data Architect
Denis is a senior full-stack AI engineer and data scientist with a PhD in mathematics and a specific focus on AI reliability and security. He's an expert in deploying modern generative AI in production end-to-end, and his skills include AI agents, ML, MLOps, big data, data analytics, and cloud infrastructure. Denis's previous industry experience spans probabilistic risk modeling, forecasting, computer vision, and team leadership across education, retail, manufacturing, and talent sourcing.

Daphne Liu
Big Data Architect
Daphne is a highly motivated big data analytics architect and SQL/Tableau/Power BI, business intelligence developer with strong business analytics solution delivery skills and 20 years of progressively responsible OLTP/OLAP database development/architecture experience. She is a frequent seminar speaker and workshop trainer in business intelligence and analytic solutions. Daphne is experienced in collaborating with business users in data modeling and business analytics solutions.

George Li
Big Data Architect
George is a data scientist and consultant with eight years of experience in manufacturing and eCommerce. He is an expert in bringing industry best practices and data-driven insights through a hypothesis-oriented approach and solution planning. He has worked with automobile manufacturers, namely Nissan, on operations to reduce the rate of equipment failure. George is an established professional seeking his next challenge.

Hasan Ali
Big Data Architect
With over six years of experience spanning big data, data analytics, machine learning, and MLOps, Hasan has worked with a diverse range of companies, from Fortune 500 corporations to nimble startups. He believes in the philosophy of 3H—honesty, humility, and helpfulness. He loves sharing knowledge via boot camps and speaker events. He is currently building LLMs and GenAI products.

Aldo Orozco
Big Data Architect
Aldo has over 12 years of experience as a software engineer, with eight years focused on data solutions. His broad expertise in embedded Linux systems, cloud infrastructure, site reliability engineering (SRE), and high-performance data architectures gives him the upper hand in dealing with complex systems. Throughout his career, Aldo has assumed multiple roles, including those of a developer, consultant, architect, and lead.

Narendra Reddy Yediginjala
Big Data Architect
Narendra has 18 years of experience in data engineering, data science, business intelligence, and data warehousing. He has handled multimillion-dollar projects for clients and worked with numerous big data tools, including Databricks, AWS, Google Cloud, Hadoop, Hive, Spark, Scala, Python, and SQL. Narendra's most significant projects have been for financial services and healthcare clients, including HelloFresh, Change Healthcare, Aetna, TIAA-CREF, and ADP.

Khalid Amin
Big Data Architect
Khalid is a seasoned data professional with 25 years of industry experience. His expertise includes data architecture, data engineering, modern data warehousing, big data, and analytics. Khalid is experienced in Microsoft Azure and Fabric, Snowflake Cloud Data Platform, Neo4j/graph databases, and GenAI. Additionally, he is skilled with SQL Server and Oracle database technologies. Khalid can speak fluently in English and is a true team player.

Priyank Singh
Big Data Architect
Priyank is a Python database expert who pioneers experiences in database design, big data pipelines, data modeling, and real-time data ingestion. He migrated a legacy client to Azure SQL, increasing revenue by $10 million per year and streamlined the entire DW process of three countries to keep real-time tracking of financial transactions. Priyank excels with Databricks, data lake (EDL) integration, migrations, and cloud projects, enabling clients to realize complex data projects smoothly.

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Toptal gave us access to the best designers out there, saving us a lot of time and allowing us to build the best possible product.
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The kind of people we looked for were hard to find. Toptal helped us achieve our goals by bringing high quality resources to bear on very short notice.
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If you’ve tried working with other vendors, Toptal is going to be a different type of company to work with; they’re going to meet you where your needs are.
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