Data Engineering
Built to Scale.
Pyrex delivers data engineering services ETL/ELT pipelines, cloud data platforms, warehouses, and streaming so you get trusted, analytics ready data for BI, reporting, and AI.
Modern Pipelines.
Trusted Data.
Pyrex helps organizations build data pipelines and cloud data platforms that power business intelligence, analytics, and AI. We focus on performance, reliability, and governance so teams stop questioning numbers and start using them.
From ETL/ELT and streaming pipelines to data warehouses, lakehouses, and data quality layers, our data engineering services deliver accurate, timely, and analytics ready datasets that scale with your business.
WE ENGINEER DATA TEAMS CAN RELY ON
Data engineering is the foundation of analytics and AI. Pyrex builds scalable pipelines, trusted data models, and governance so your organization can move faster with confidence.
Build a Scalable Data Foundation
Create data platforms that support growing volume and new use cases without brittle pipelines or constant rework.
Enable Real Time and Near Real Time Insights
Deliver fresh, reliable data to analytics and operational systems so teams can act faster with fewer delays.
Improve Data Reliability and Trust
Reduce data issues with monitoring, validation, and governance that keeps KPIs consistent across dashboards and teams.
Power BI, Reporting, and Machine Learning
Prepare high quality datasets that support business intelligence, forecasting, automation, and AI initiatives.
Reduce Complexity and Maintenance Overhead
Replace manual processes and fragile jobs with clean, maintainable architectures and automation first workflows.
Future-Proof Your Data Stack
Design flexible systems that evolve with new tools, new data sources, and changing business requirements.
What You Get with Pyrex Data Engineering
Cloud data platforms, scalable pipelines, streaming architectures, and governance delivered as a modern foundation for BI and AI.
Data Pipelines (ETL/ELT) at Scale
Build reliable ETL/ELT pipelines batch or real time to ingest, transform, and deliver clean data across your business.
Modern Data Warehouses & Lakes
Design cloud data warehouses and lakehouse platforms optimized for BI, analytics, and AI workloads with consistent definitions.
Streaming & Real Time Data Engineering
Enable event driven architectures with streaming pipelines for low latency analytics, monitoring, and operational decision making.
Cloud Data Platforms (AWS/GCP/Azure)
Implement scalable, cloud native data systems using managed services built for performance, reliability, and cost efficiency.
Data Quality, Lineage & Governance
Increase trust with validation, observability, access control, and governance so teams rely on metrics with confidence.
Analytics & AI Data Enablement
Deliver analytics ready datasets, curated models, and feature pipelines that power dashboards, reporting, and machine learning.
Data Engineering Outcomes You Can Measure
Faster data availability with optimized ETL/ELT pipelines and streaming architectures built for scale.
Higher data reliability using validation, observability, and automated quality checks across critical pipelines.
Lower data platform costs through cloud-native architecture, right-sizing, and efficient pipeline design.
