AI DATA ENGINEERING & ANALYTICS
AI-Ready Data Infrastructure That Powers Every Downstream Use Case
Eliminate data silos and maximize operational efficiency with compliant, scalable infrastructure engineered to process your enterprise analytics in real time.
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OUR SERVICES
Ready to Accelerate Operational Performance with Clean, Scalable Data Pipelines?
Our practice covers data platform design, pipeline development, governance, and the analytics layer that makes AI investments visible to the business.
Modern Data Platform Design
We design scalable lakehouse, data warehouse, and streaming architectures using platforms such as Snowflake, Databricks, and BigQuery to help centralize data and support analytics, reporting, and AI workloads.
Data Pipeline Development
We build batch and real-time data pipelines that connect, transform, and deliver data across business systems, with testing and monitoring practices designed to improve reliability and maintainability.
Data Quality & Observability
AHT Tech implement data quality checks, monitoring, and observability practices to help identify anomalies, pipeline failures, and data inconsistencies before they affect downstream analytics and AI applications.
Master Data & Entity Resolution
Our team builds master data management solutions that resolve customers, products, and transactions across siloed systems into a clean, unified view.
Feature Stores for ML & AI
We deploy feature stores like Feast or Tecton so your data science team reuses features across models instead of rebuilding them every time.
Self-Service BI & Analytics
We design BI environments, dashboards, and governed semantic layers that help business teams explore trusted data and generate insights with less dependence on technical teams.
Data Governance & Compliance
We implement data cataloging, lineage, sensitive data controls, and access management practices to support governance requirements related to frameworks and regulations such as GDPR, HIPAA, SOC 2 and Vietnam AI Law 134/2025/QH15.
Our Worldwide Customers
OUR TECHNOLOGY STACKS
The Data and Analytics Stack We Deploy to Fit Your Infrastructure
We work across the leading cloud, warehouse, and orchestration tools so the platform we deliver fits your existing investments and future AI roadmap.
Protecting Your Data Is Our Top Priority
How We Deliver a Data Platform That the Business Can Actually Trust
Our delivery process balances quick wins on critical pipelines with the long-term work of building a governed, scalable platform.
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Data Landscape Assessment
We map your sources, current pipelines, quality issues, and governance gaps, then prioritize the domains that unlock the most AI value.
Target Architecture Design
Our architects design the lakehouse, warehouse, or streaming platform, including the data modeling, security, and observability layers.
Pipeline Build & Migration
We develop ingestion, transformation, and serving pipelines, then migrate workloads from legacy systems with zero downtime to the business.
Quality, Governance & Self-Service Enablement
Our team rolls out data quality checks, catalog metadata, and BI semantic layers so business users can trust and self-serve the data.
Ongoing Operations & Optimization
We monitor pipeline health, tune cost, evolve the schema as the business changes, and onboard new AI and analytics use cases.
Case studies
PUMA is a global company based in Germany that creates and produces sports and leisure footwear, clothing, and accessories. PUMA has updated and redesigned its mobile websites in over 24 locations across the world, a move that underlines the rising significance of mobile.
Retailer ALDO Improve 1-To-1 Communications with Customers Through Salesforce
Aldo Bensadoun opened his own store in downtown Montreal in 1972 with the audacious goal of becoming the "brand that cares," following in the footsteps of his shoe salesman father and cobbler grandfather who later owned businesses. Since then, Bensadoun has expanded Aldo into a global footwear chain with more than 2,000 locations across more than 100 nations, carrying on the massively successful tradition of style and craftsmanship started by his family. The founding principles of Bensadoun have persisted as well; "love" is listed among its official corporate values.
Salesforce Helps FCB Group Optimize Productivity
FCB Group has been helping Australian businesses about the murky waters of workplace relations and employment law for 25 years. FCB Group provides specialized guidance to hundreds of ASX-listed firms.FCB Group's client has recently expanded thanks to the company's recent commercial diversification, which now includes cloud-based HR technology platforms and migration services. The company currently provides services to around 12,500 clients across five different industry sectors thanks to its comprehensive approach to workplace legislation.
ABOUT AHT TECH
Why Partner With AHT Tech?
Global businesses trust AHT Tech for more than just technical support - they rely on us as top strategic partners to navigate complexity and drive efficient transformation.
AI-First Innovation
By integrating AI-first solutions into our core offerings, from predictive analytics to AI-driven eCommerce agents, AHT Tech ensure your infrastructure is smarter, faster, and ready for the next generation of digital commerce.
Deep Domain Expertise
With 19+ years of engineering, we bring specialized mastery to every project, our deep industry knowledge turns technical hurdles into competitive advantages.
Dedicated Global Support
Our global support model ensures your operations never sleep. We act as a seamless extension of your team, providing proactive monitoring and technical stewardship that guarantees your systems remain resilient and mission-ready.
Results-driven Performance Metrics
Every solution we engineer is anchored in measurable ROI and performance KPIs. By aligning our technical roadmap with your business outcomes, we ensure that digital transformation results in tangible growth and operational precision.
Let's Build the Future of Your Business with Our AI Data Engineering & Analytics Service Today
The first step toward innovation is a simple conversation. We’re ready when you are.
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Frequently Asked Question
Why does AI need a separate data foundation from regular analytics?
AI workloads need richer features, lower latency retrieval, and tighter quality controls than most BI workloads. Without a purpose-built data layer, AI models train on stale or dirty data and underperform in production.
How do you handle PII and regulated data in pipelines?
We tag PII at ingestion, apply tokenization or masking based on policy, and enforce row- and column-level access controls. Every pipeline is audited end to end for GDPR, HIPAA, and other regulatory requirements.
Which data platforms do you specialize in?
Our engineers ship on Snowflake, Databricks, BigQuery, Microsoft Fabric, and AWS-native stacks. We pick the platform based on your data volume, latency needs, existing licenses, and team skills.
Do you offer ongoing data platform operations, or just delivery?
Both. Most clients keep us on a managed services contract after the build phase to handle pipeline monitoring, schema changes, cost optimization, and on-call response.
Can you modernize our existing data warehouse without a full rebuild?
Yes. We run incremental modernization programs that move workloads to a modern platform in phases, keeping legacy systems alive until each domain is fully migrated and validated.