Data Engineering

Make Data Work Harder—Faster

Great data platforms don’t start with architecture—they start with evidence. We help teams build and test working pipelines, models, and transformations before investing in full-scale implementation. Whether you’re modernizing a data warehouse or tackling streaming ingestion for the first time, our proof-of-concept approach shows how your data will really behave under pressure—so you can design it right from the start.

We Solve Real Data Engineering Problems—Before You Scale

POC Consulting helps teams untangle complex data challenges—without waiting months to discover misalignment. We build hands-on proof-of-concept solutions that demonstrate how data pipelines, models, and platforms will behave with your real workloads, governance needs, and downstream tools in play.

Typical challenges we address in early-stage data engineering work:

  • How can we unify fragmented datasets across cloud and on-prem sources?

  • Which cloud-native tools are best suited for our data volume and latency targets?

  • What’s the fastest way to validate transformations or schema for analytics and AI workloads?

We deliver answers not in theory—but in working pipelines, repeatable prototypes, and clean technical documentation.

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Our Data Engineering Capabilities

Modern Data Warehousing

Design and delivery of scalable, performant warehousing solutions on Snowflake, Azure Synapse, BigQuery, and more.

Data Pipeline Engineering

Cloud-native ETL/ELT pipeline builds using tools like Azure Data Factory, dbt, Apache Airflow, and native orchestration frameworks.

Governance & Metadata

Prototyping of data lineage, schema enforcement, and access control strategies using cloud-native governance and catalog tools.

Stream & Event Processing

Real-time ingestion and transformation using Kafka, Azure Event Hubs, AWS Kinesis, or pub/sub models for analytics and app triggering.

Data for BI & AI

Foundational data modeling and engineering to feed dashboards, analytics layers, and ML pipelines using trusted, reusable data assets.

The Value of Early Data Engineering Proofs

Without working data prototypes, it’s easy to overcommit to tools or designs that don’t hold up at scale. Our proof-of-concept approach helps your team:

  • Validate performance, schema, and interoperability before vendor lock-in

  • Compare data platforms and pipelines based on *your* use cases—not sales demos

  • Accelerate internal adoption through visualized value and clarity

From streaming architectures to ELT modernization efforts, we work at the intersection of what’s technically possible and what’s pragmatically necessary to deliver results—fast.

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Let’s Engineer It—Together

If you’ve got complex data challenges, we’ve got working solutions. Let’s map it out, mock it up, and get moving.

Fill out some info and we will be in touch shortly. We can’t wait to hear from you!

Discover Our Services

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Cloud Application Solutions

Build faster. Migrate smarter.
From modern startups to enterprise legacy landscapes, we help you test, configure, and launch cloud-ready applications that actually work for your business—before you commit big.

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Data Engineering Solutions

Data infrastructure that does more than move numbers.
Whether you're stitching together fragmented systems or preparing for analytics at scale, we build proof-of-concept pipelines and models that unlock clarity—and momentum.

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Artificial Intelligence Solutions

Turn smart ideas into real AI solutions.
We prototype and deploy machine learning, automation, and generative tools in your world—not a lab. Discover how AI can save time, cut noise, and unlock your next breakthrough.