Data Engineering & PlatformsOne trusted data platform behind every dashboard and AI model.
Data engineers who pull your data out of Tally, ERP, CRM, marketplaces and ad platforms and land it in one governed, documented warehouse. Quality checks run on every load, so numbers are right first.
- Pipelines and warehouse
- Data quality checks
- AI-ready data
Free 30-minute call with a senior data engineer. Reply within one business day. Based in Jaipur, working with businesses across India.
- Discovery callFree 30 minutes with a senior specialist
- Scoped first phaseWritten scope, timeline and fixed price
- Build with weekly demosWorking software you can see every week
- Launch and supportGo-live with your team ready, then ongoing support
What are data engineering and data platform services?
Data engineering builds the systems that collect data from your applications, clean and organise it, and store it in a warehouse where reports and AI models can use it. Stack18 designs the architecture, builds pipelines from sources such as Tally, ERPs, CRMs and marketplaces, adds data quality and access controls, and documents everything so your team can run it.
Last reviewed 9 November 2026 by the Stack18 delivery team in Jaipur. Security and AI governance · Pricing · About Stack18
| What it covers | Data source audit & architecture; Pipelines & integration; Data warehouse & modelling; Data quality & governance; BI enablement; AI-ready data. |
|---|---|
| Typical first step | Data Source Audit: 2 weeks; fixed price. |
| Next step | Data Platform Build: 4–8 weeks; fixed price. |
| Long-term option | Data Platform Care: ongoing; monthly retainer. |
| Measured by | Metric consistency; Data freshness; Pipeline success rate; Quality test pass rate. Each against an agreed baseline. |
| Governance | Human approval at 5 governance gates before anything reaches production. NDA available on request. |
| Delivery team | Based in Jaipur, India. A senior specialist replies within one business day. |
You need Data Engineering & Platforms when…
Tap the ones that apply to you.
Data Engineering & Platforms, end to end.
Each capability is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Data source audit & architecture
A map of your data, and a design that fits your size.
- Source and quality inventory
- Warehouse and pipeline architecture
- Cost and tooling options
Pipelines & integration
Reliable movement of data from every source.
- Tally, ERP, CRM, marketplace links
- Batch and near-real-time loads
- Monitoring and retries
Data warehouse & modelling
One organised place for analysis, with agreed definitions.
- Warehouse design and build
- Business metrics defined once
- Documentation and lineage
Data quality & governance
Numbers people can trust, and rules for who sees what.
- Automated quality tests
- Access control and masking
- Ownership and data catalogue
BI enablement
Dashboards that sit on solid foundations.
- Semantic layer for BI tools
- Self-service datasets
- Performance tuning
AI-ready data
Prepare data for models, assistants and agents.
- Feature and knowledge-base preparation
- Privacy and DPDP Act considerations
- Vector and retrieval stores
A typical data platform engagement, week by week.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Audit
Inventory sources, owners, quality and the decisions to support.
Design
Choose architecture and tools, define metrics, plan first pipelines.
Build
Create pipelines and warehouse models, with tests on every load.
Launch & hand over
Connect BI tools, document, train your team and set up monitoring.
Start small. Scale when it works.
Every engagement begins with a short, fixed-price step so you can judge the fit before committing further.
Data Source Audit
Teams with scattered data and unclear priorities.
- Duration
- 2 weeks
- Pricing
- Fixed price
- Source and quality inventory
- Recommended architecture
- Costed build plan
Data Platform Build
Teams ready for a trusted warehouse.
- Duration
- 4–8 weeks
- Pricing
- Fixed price
- Pipelines and warehouse
- Data quality tests
- Documentation and training
Data Platform Care
Live platforms that need upkeep and growth.
- Duration
- Ongoing
- Pricing
- Monthly retainer
- Monitoring and fixes
- New sources and models
- Quarterly review
Free data source audit call
List where your important data lives. A Stack18 data engineer sketches how it could flow into one platform and where the quality risks are.
- A one-page data flow sketch
- Quality and ownership risks
- Suggested next steps, no obligation
We agree targets before we start.
Every engagement has a baseline and a target on the measures that matter to you, reported at every read-out.
Where Data Engineering & Platforms makes the biggest difference.
D2C brand
- Challenge
- Revenue differs between marketplaces, ad platforms and the ERP.
- What we do
- Pipelines from each source into one warehouse with agreed revenue definitions.
6 weeks
Distribution company
- Challenge
- Weekly reports built by hand from Tally and spreadsheets.
- What we do
- Automated loads from Tally and the dealer portal, and a tested sales and stock model.
5 weeks
Healthcare network
- Challenge
- Wants analytics, but data sits in separate systems.
- What we do
- A governed warehouse with access controls and a privacy-aware data model.
8 weeks
Data Engineering & Platforms questions.
Do we need a data warehouse, or are dashboards enough?
Dashboards on top of spreadsheets work for a while. A warehouse becomes worthwhile when several systems must agree on the same numbers, or when data volumes and users grow. The audit tells you which stage you are at.
Which tools and cloud do you use?
We choose per project among warehouses such as BigQuery, Redshift, Snowflake and PostgreSQL, with open or managed pipeline tools, based on your size, budget and skills.
Can you pull data from Tally and Indian marketplaces?
Yes. We have dedicated integration capabilities for Tally, Zoho, Shopify, and Amazon and Flipkart, among others, using official APIs or supported exports.
How is this different from Data & Analytics?
Data & Analytics covers the full journey from data strategy to dashboards and advanced analytics. Data Engineering & Platforms goes deep on the pipelines, warehouse and quality layer that everything else depends on.
How do you protect personal data?
We design access controls, masking and retention with the DPDP Act in mind, document data flows and limit access to what each role needs.
Do you provide data engineering and data warehouse services in Jaipur and across India?
Yes. Stack18 is headquartered in Jaipur, Rajasthan, and delivers data engineering and data warehouse services for businesses across India. You get a free 30-minute call, a fixed-price first step and working software every week, so the engagement works the same whether you are in Jaipur or elsewhere.
Often combined with.
Data platforms feed data and analytics for dashboards and insight, and AI agents and automation and generative AI applications that need clean knowledge. They rely on enterprise integration to connect source systems, and cloud migration and FinOps helps when the platform runs on cloud. See all Stack18 services.
Data & Analytics
Turn scattered data into decisions, dashboards and AI.
Explore →ModernizationEnterprise Integration & APIs
ERP, CRM, accounting, payments and WhatsApp working as one.
Explore →AI TransformationGenerative AI & LLM Apps
Assistants and copilots grounded in your own data.
Explore →Let's scope your Data Engineering & Platforms project.
Tell us where you are and where you want to be. A senior data engineer will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request