Skip to main content
Data Engineering & AI Consultancy

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

Your success, our reputation

FirstList
Gunho
Toast
Babr
Redpoint
Kaemark
ApSession
Battery Tender
Stanley Ventures
Movers4Melbourne
Loop
3R Connect
August
Calm Ventures
Lovey Prints

Best Data Engineering Company

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

5

Years Of

Automation

Our Work

Highlighted Projects

Startup founders and technology teams at an innovation event representing emerging investment opportunities

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

Endurance athlete preparing for a run, representing influencer marketing campaigns in the sports and fitness industry

Building Influencer Analytics for Global Brands

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.

Skyfare-to-db

Natural Language Database Lookup System (dbGPT)

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.

Facebook Data Pipeline Architecture

Facebook Data Pipeline using ChatGPT (for Knok’d)

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.

minervaai

Wikipedia Scraping (Mayors of Canada)

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

Restaurant staff preparing multiple online delivery orders during a busy service period

Real-Time Food Delivery Data Collection

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%.

Real-estate professionals networking at an industry event representing agent discovery across multiple markets

Turning Real Estate Data Into Qualified Leads

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 Certifications

  • clutch-logo
  • designrush-logo
  • goodfrims-logo
  • tech-behemoth

Our Motivation

Feedback from our clients

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

Latest Posts

dbt Fusion vs dbt Core: A Complete, No-BS Comparison for Modern Data Teams (2025)
Data EngineeringData Pipeline Development
Khalid · Dec 5, 2025

dbt Fusion vs dbt Core: A Complete, No-BS Comparison for Modern Data Teams (2025)

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

How to Estimate Snowflake Cost: Step-by-Step Guide
Snowflake Consulting
Usman Ashraf · Mar 12, 2025

How to Estimate Snowflake Cost: Step-by-Step Guide

Stop overpaying for data warehousing. Read our guide to estimating Snowflake credit usage, analyzing hidden traps, and downloading cost tracking queries.

What is a Data Lake? Architecture, Layers, and Cloud Stacks
Data Lake ImplementationModern Data Architecture
Taha · Sep 16, 2026

What is a Data Lake? Architecture, Layers, and Cloud Stacks

A data lake stores raw and processed data in cheap cloud storage. Here's how the seven layers work, and how a lake differs from a warehouse or lakehouse.

A CTO's Guide to Data Migration Consulting and When to Hire
Data Migration
Khalid · Aug 5, 2026

A CTO's Guide to Data Migration Consulting and When to Hire

Most data migrations fail in planning and testing, not in the transfer. What data migration consulting covers, and when it earns its fee.

What Is dbt Fusion? A Complete Guide to the Next Generation of Data Transformation
Data EngineeringData Pipeline Development
Khalid · Dec 2, 2025

What Is dbt Fusion? A Complete Guide to the Next Generation of Data Transformation

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

Data Observability: Definition Use Cases and Best Practices
Data EngineeringData Pipeline Development
Khalid · Sep 30, 2026

Data Observability: Definition Use Cases and Best Practices

A practical guide to data observability: what the practice covers, the main tools, real use cases, and best practices for putting a platform in place.

Why Cloud Data Migrations Fail (Even with Great Engineers)
Data Migration
Moiz · Jan 8, 2026

Why Cloud Data Migrations Fail (Even with Great Engineers)

There is a comforting myth that quietly governs how many organizations approach cloud data migration:

Book Consultation