Data pipelines (ETL / ELT)
Automated pipelines that extract, clean and load data from all your sources on schedule or in real time.
Data Engineering
Data engineering for a single source of truth
We build reliable data pipelines and modern data warehouses that bring all your business data together, clean, governed and ready for reporting, analytics and AI.
What We Offer
Data Engineering & Warehousing services
Robust data foundations that power your dashboards, analytics and AI.
Data warehousing
Modern cloud data warehouses designed for fast reporting and analytics.
Data lakehouse
Store structured and unstructured data together for analytics and machine learning.
Data quality & governance
Validation rules, master data, lineage and access control so data can be trusted.
Data migration
Safe, validated migration from legacy databases and systems to modern platforms.
Data for AI
Prepare and organise data so AI and machine learning projects can succeed.
Use Cases
Where Data Engineering & Warehousing makes a difference
Consolidated reporting
Combine ERP, CRM, spreadsheets and apps into one reporting database.
Real-time operations data
Stream orders, transactions or sensor data for live dashboards.
Customer 360
Bring every customer interaction together in one profile.
Legacy system retirement
Move historical data out of old systems before they are switched off.
Regulatory reporting
Accurate, auditable data for compliance and statutory reports.
AI & ML readiness
Clean, labelled datasets for forecasting and AI models.
How We Deliver
A clear path from idea to results
1
Data audit
Map your data sources, quality issues and needs.
2
Architecture
Design the right warehouse or lakehouse and pipelines.
3
Build pipelines
Develop, test and document automated data flows.
4
Operate
Monitor data freshness and quality, and support growth.
Benefits
Why businesses choose AGSOFTECH
Trusted data
Consistent definitions and quality checks across the business.
Faster insights
Data ready for reports in minutes, not days.
Scales easily
Cloud platforms that grow with your data volumes.
Governed & secure
Role-based access and full data lineage.
Tools & Technology
Technologies we work with
Microsoft Fabric
Azure Data Factory
Snowflake
Databricks
SQL Server
PostgreSQL
Python
dbt
Apache Spark
FAQ
Data Engineering & Warehousing: common questions
What is the difference between ETL and ELT?
ETL transforms data before loading it into the warehouse, while ELT loads raw data first and transforms it inside the warehouse. ELT is common with modern cloud platforms because it is flexible and scalable.
Do we need a data warehouse?
If you report from several systems or spreadsheets, a data warehouse gives you a single, reliable source for reporting and analytics and removes manual consolidation.
Which platform do you recommend?
It depends on your existing technology, data volumes and budget. We commonly use Microsoft Fabric, Azure, Snowflake and Databricks, and recommend the best fit after assessment.
Can you migrate data from our old system?
Yes. We plan, test and validate migrations so data arrives complete and accurate, with minimal downtime.
Let's talk about Data Engineering & Warehousing
Book a free consultation: email info@agsoftech.com or call +91-9873174794.