Team Leader
Featured Full Team of Data Analytics Specialists
Data Scientist and Developer
Previously at
Engineering Experience
13+ Years
Data Scientist and Developer
Previously at
Engineering Experience
12+ Years
Data Engineering Developer
Previously at
Engineering Experience
12+ Years
TRUSTED BY LEADING BRANDS
CSO & CTO, Technology Services
Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity.
Previously At
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OUR SERVICES
Toptal’s Data Analytics services provide clients access to a global network of experts with specialty in optimizing data-driven enterprises and enhancing analytics capabilities. Utilize our expertise in analytics and data management to transform data into actionable insights.
CSO & CTO, Technology Services
Ali is an IT leader and strategist with 25+ years of experience at IBM, Verizon, Thomson Reuters, and Cognizant. He has led global teams, building and scaling multibillion-dollar annual growth. As a turnaround and strategic growth expert, he has jump-started innovation, grown revenue, and improved productivity. He has worked across verticals and across a wide range of technologies including AI/ML, cloud, ERP, CRM, ITSM, cybersecurity, and others.
Previously at
Technology Experience
25+ Years
Delivery Manager
Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.
Previously Managed Client
Experience
9+ Years
47+ Years
of Experience
Art has decades of data architecture and cloud-computing consulting experience—mostly in building enterprise data warehouses. Art is an end-to-end solution architect and chief problem solver with a long history of focused execution—according to a statement of work—and successful delivery in a team setting.
Previously at
18+ Years
of Experience
Emilio is a computer science engineer and MBA graduate with 18+ years of experience helping businesses define and analyze their KPIs across marketing, sales, operations, and finance. He is skilled in SQL and has been working with Tableau since 2011, developing all data integration required to feed Tableau from any data source. As a Tableau consultant and trainer, Emilio can quickly interpret the business needs and build insightful dashboards.
Previously at
8+ Years
of Experience
Joslyn is a seasoned data practitioner with demonstrated experience across multiple industries, including technology consulting and customer service. With her academic background in applied statistics and a skill set in machine learning, data analytics, Python, and SQL, Joslyn has delivered numerous projects with positive business impacts on customers.
Previously at
11+ Years
of Experience
Davis is a seasoned engineer with more than a decade of experience in data engineering and analysis. He has led several data projects involving the transformation of on-premises databases to cloud-based data lakes using Amazon Web Services and Azure. Davis has a wealth of experience designing and developing data visualizations to present complex data models to stakeholders at all levels. He holds an MBA and has experience with data mining and machine learning.
Previously at
30+ Years
of Experience
Gabriel more than 30 years of experience installing, managing, and using SQL, NoSQL (key-value, columnar, graph), time-series, spatial, in-memory, and cloud databases. He's worked with 10TB OLTP databases, 10TB data warehouses, tables with 10+ billion rows, and databases with 10,000+ tables.
Previously at
17+ Years
of Experience
Thomas has 17+ years of experience in risk modeling and causal inference and has managed over €1 million in research funds as a scientist. Since 2019, he has worked as an independent contractor for various global pharmaceutical companies and CROs. His goal is to improve data-driven decision making by adopting state-of-the-art analysis methods and delivering scientific scrutiny in a timely fashion.
Previously at
24+ Years
of Experience
Denis is a senior full-stack AI engineer and data scientist, highly skilled in modern generative tech (GPT-4, Midjourney, and more), machine learning, ETL pipelines, data analysis, mathematical modeling, big data, and MLOps. He has a PhD in mathematics, and his data science expertise includes probabilistic risk modeling, revenue forecasting, geospatial data analysis, handwriting recognition, anomaly detection in time series, data engineering, and team leading.
Previously at
8+ Years
of Experience
Laura is a data-driven strategist with expertise in turning data into actionable insights. Laura fell in love with Tableau 7.0 in her MBA business analytics program and never looked back. Now, she is a Tableau certified professional and spends her days telling stories with data to influence business decisions.
Previously at
24+ Years
of Experience
Stephane possesses an impressive 24 years of international experience in data analytics and business process optimization. Throughout his career, he has excelled in various areas, including database design, business intelligence (BI), machine learning algorithms, big data, and predictive analytics. Stephane's expertise lies in developing solutions that automate processes, allowing clients to allocate their efforts toward value-added activities.
Previously at
7+ Years
of Experience
Daniel is a data engineer and architect specializing in Azure's cloud services. He's keen on collaborating with data analysts and data scientists to provide them with accurate data for dashboards and experiments, leveraging his clear communication skills and problem-solving mindset. As a certified Azure data engineer and a Databricks data engineer professional, Daniel's tech stack includes Databricks, Azure Data Factory, Azure Synapse, Azure Analysis Services, and Microsoft Power BI.
Previously at
13+ Years
of Experience
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.
Previously at
6+ Years
of Experience
Bilal is an experienced data scientist with solid knowledge of machine learning, data analysis, and visualization. He offers more than six years of professional experience in data science, working on projects related to building and deploying machine learning models, extracting insights from data, and managing data. Bilal is passionate about working with teams whose vision aligns with his values and specializations.
Previously at
13+ Years
of Experience
Ernesto is a business intelligence professional with more than 13 years in the field. With his expertise in data warehousing, Amazon Redshift, MS SQL Server, ETL (SSIS), Tableau Desktop, and Tableau Server, he helps companies integrate and organize data from multiple sources to be used for reporting and analysis. Ernesto’s attention to detail, strategic thinking, and expertise make him a highly qualified individual for various projects.
Previously at
14+ Years
of Experience
Mabrouk is a data warehouse architect with more than 14 years of experience, and he enjoys his job like the first day. He has hands-on experience modeling and developing data warehouses on top of leading systems like SQL Server, Google Cloud BigQuery, Snowflake, and Databricks.
Previously at
4+ Years
of Experience
Jorge is a Microsoft Certified: Data Analyst Associate and Azure Data Engineer Associate with Power Platform and Power BI certifications. He specializes in data analytics, business intelligence, data science, and SQL. Jorge has solid experience as a Power BI administrator and developer working for various enterprise clients in banking, finance, oil & gas, and business services.
Previously at
Achieve Data-Driven Success With Toptal’s Data Analytics Services
WHY ORGANIZATIONS CHOOSE US
Discover the cutting-edge benefits our clients enjoy from the global Toptal network.
Toptal data visualization experts build state-of-the-art application for oil and gas leader.
Precision Drilling partnered with Toptal to build Clarity, a data visualization platform that cut analysis time from months to seconds.
Challenge: Precision Drilling wanted to develop cutting-edge data visualization software that could accelerate the analysis of drilling rig performance data and provide increased value to its customers.
Solution: Toptal assembled a team to help Precision Drilling realize its vision. This team developed Clarity, a state-of-the-art data visualization platform that delivers real-time insights.
Impact: The platform serves as a central hub for real-time and historical rig fleet performance data, significantly boosting efficiency and enabling instant communication of results across the organization.
It wasn’t a customer-vendor relationship; it was more of an integrated relationship.
Shuja Goraya, CTO, Precision Drilling
COLLABORATION THAT WORKS
Toptal matches you directly with global technology leaders from our network in hours—not weeks or months.
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NEED WORLD-CLASS DATA ANALYTICS SERVICES FAST?
Ali Faraj
CSO & CTO, Technology Services
OUR THOUGHT LEADERSHIP
Read the latest articles and resources to stay informed about emerging trends in business intelligence, data, analytics, artificial intelligence and more.
Data inundates us like never before—how can we hope to analyze it? Graphs (networks, not bar graphs) provide an elegant approach. Find out how to start with the Python NetworkX library to describe, visualize, and analyze “graph theory” datasets.
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RELATED EXPERTISE
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