
Turning Startup Research Into a Growth Engine
Identified 2,500+ high-growth startups across 3 markets and reduced manual prospecting by 80%. The workflow achieved 95% accuracy against manual review

Data Engineering Consulting
Services for Businesses
We build data pipelines, AI systems, and automation that ambitious companies actually ship. Trusted infrastructure from Snowflake migrations to LLM workflows, that removes noise and surfaces signal.
Our Clients
We deliver cutting-edge data engineering solutions, transforming raw data into actionable insights. Our expertise encompasses the full spectrum of data engineering, including data extraction and automation, data pipeline development, data warehousing and modeling, AI and machine learning integration, cloud data solutions, and big data processing. We are committed to providing reliable, future-proof data infrastructures to our clients with the insights they need to thrive.
Usman Ashraf
CEO & Founder
Years Of
Automation
Our Services

Automate workflows and business processes with AI-driven tools, RPA, and seamless integrations.

Drive your business growth by deploying smart AI across diverse systems and digital operations.

Build trusted data and tools for your business using our advanced pipelines.
Our Work

Identified 2,500+ high-growth startups across 3 markets and reduced manual prospecting by 80%. The workflow achieved 95% accuracy against manual review

Unified Instagram and Facebook campaign data into one reliable reporting workflow. The solution supported 3 global brands and contributed to $1.8M in annual revenue growth.

We created an intelligent lookup system (using the OpenAI) that can understand natural language prompts and convert them into SQL queries to retrieve the required information from a database.

Knok’d needed Facebook group data for its real estate listings platform. DataPrism built a Python and ChatGPT-powered pipeline to extract, clean, transform, and deliver the data in a structured format.

Our client, minervaai.io/, needed to get the official financial records and other details of Canadian mayors. They were finding it hard to continuously keep up with this information. Data Prism was tasked to devise a smart technique that could check the current mayor of all the cities of Canada on an on-going basis

Collected and unified delivery order data across 2,500+ restaurant locations with updates in under 60 seconds. The resulting insights helped participating restaurants increase revenue by 35%.

Built a multi-source data pipeline to collect real estate agent information at scale while handling blocking and duplicate records. The result was a structured, reliable lead database that reduced manual prospecting.
Our Motivation
Haven't had an issue for the last 1.5 years.
Truly impressed by their understanding of the technology and the team's project management has been very professional ever since we joined forces. They always deliver well before time and maintain an effective communication throughout the sprint. Highly recommended team for your data and AI needs!
Data Prism built an awesome product.
The team consistently provided items on time and maintained effective communication via virtual meetings throughout the engagement. Data Prism's efforts yielded an amazing LinkedIn scraper that ran smoothly and helped us invest in many profitable ventures.
Data Prism helped us migrate large datasets into BigQuery.
They created repeatable analytics to put into practice in our workflows. This helped us scale a new revenue model and we would certainly recommend them.
Data Prism completely transformed the way we handle our business data.
They built a scalable data pipeline and automated our ETL processes, which saved us countless hours every week. They were professional, responsive, and really understood our needs. Highly recommend them for your business!
Data Prism showed strong data engineering expertise, clear communication, and reliability.
Usman and team were efficient, communicative, and invaluable in helping solve our data challenges.
Our Blog

The analytics engineering ecosystem has been shaped for years by one tool: dbt Core.It defined a new way of building data pipelines — modular SQL, version-controlled transformations, in-warehouse processing, and a shared




For years, dbt Core has been the go-to solution for transforming data with SQL. It brought software engineering practices like version control, testing, and documentation into analytics. But as organizations scale ac
