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
Build trusted data and tools for your business using our advanced pipelines.
Drive your business growth by deploying smart AI across diverse systems and digital operations.
Get useful data and links (from the internet) for your business through our efficient crawlers.
Drive up your business value by extracting key data from different applications.
Enhance productivity by implementing robust and reliable automated scripts and bots.
Our Work
As a Venture Capitalist, our client found it very tiring and expensive to find startup leads that they can investigate further for potential funding rounds. We were required to come up with a smart algorithm to find startups which can possibly be the next best investment for our client.
Freestak, a marketplace for endurance influencers, wanted to integrate key insights coming from marketing campaigns with their associated influencers. Freestak required obtaining post data and engagement metrics of posts, stories and reels of Instagram influencers.
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
Our client needed merchant-side data of orders coming to restaurants through 3 major ordering companies (DoorDash, Uber Eats, and Grubhub). We were required to implement a smart algorithm to retrieve such a huge volume of information and prevent blocking, duplication, and other problems.
We implemented a smart algorithm with a multi-level crawler to make sure that all the real estate agents are being found. We scraped multiple websites to gather an extensive amount of data and used proxies to prevent blocking and other issues.
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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.
Their team 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 any business looking to modernize their data infrastructure!
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
Every company today handles huge amounts of data from customer details and sales numbers to sensor readings and social media posts. But if this data is not tested properly, it can quickly turn into a messy “data swamp” t
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
In today’s data-driven world, businesses rely on data pipelines to power everything from customer dashboards to AI models. But what happens when the data breaks? A missing field, a sudden drop in volume, or a delayed upd
