ETL & Data Pipeline DevelopmentReliable data flowing from every system into one place.
Batch and real-time data pipelines that extract data from ERPs, applications, APIs and files, transform it and load it into warehouses and lakes, with orchestration, tests and monitoring.
- Batch and real-time
- Orchestrated and tested
- Monitored
- Data Assessment1–2 weeks · Fixed price
- Pipeline Build3–8 weeks · Fixed price per phase
- Data Platform SupportOngoing · Monthly retainer
What is an ETL data pipeline?
ETL stands for extract, transform and load: data is extracted from source systems, transformed into a clean, consistent form and loaded into a warehouse or lake. Modern pipelines often load first and transform inside the warehouse (ELT), and some stream data in real time. Stack18 builds pipelines with tools such as Airbyte, Airflow, dbt, Kafka and cloud-native services, with tests, monitoring and alerts.
- data pipeline development
- ETL services India
- ELT pipeline
- Airflow consulting
- real-time data streaming
Last reviewed 11 November 2026 by the Stack18 delivery team in Jaipur.Security & AI governancePricing
| What it covers | Source connectors; Ingestion; Transformation; Streaming; Orchestration; Monitoring and lineage. |
|---|---|
| Typical first step | Data Assessment: 1–2 weeks; fixed price. |
| Main engagement | Pipeline Build: 3–8 weeks; fixed price per phase. |
| Long-term option | Data Platform Support: Ongoing; monthly retainer. |
| Measured by | Pipeline success rate; Data freshness; Time to add a source; Data quality issues. 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. |
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ETL & Data Pipeline Development, end to end.
The features and building blocks of an ETL & Data Pipeline Development engagement. Each is delivered by the same team on the Agentic SDLC, with your approval at every critical step.
Source connectors
Data pulled from ERPs, apps, APIs and files.
- Tally, SAP and ERPs
- SaaS APIs
- Files and SFTP
Ingestion
Batch and change-data-capture loads.
- Incremental loads
- Change data capture
- Schema handling
Transformation
Clean, joined and modelled data.
- dbt models
- Business rules
- Data tests
Streaming
Real-time pipelines where needed.
- Kafka and Pub/Sub
- Event processing
- Live dashboards
Orchestration
Schedules and dependencies managed.
- Airflow or Dagster
- Retries
- Backfills
Monitoring and lineage
Failures caught and data traced.
- Freshness alerts
- Quality checks
- Lineage
A typical engagement, step by step.
Senior people lead every phase. Specialised AI agents on the Agentic SDLC handle the repetitive work, and nothing ships without your approval.
Discover
We map today’s process, systems and data for source connectors, ingestion and transformation, talk to the people who run it and agree the baseline for pipeline success rate and data freshness, so progress is measured from week one.
Design
We design the flows, roles, approvals and integrations for source connectors and ingestion, and review a clickable prototype or technical design with the people who will use it before anything is built.
Build
We build in weekly demos, starting with source connectors, then ingestion and transformation. Each release is tested on your own data and passes a human approval gate before the next begins.
Launch
We migrate data, train your team and support go-live. After 30 days we review pipeline success rate and data freshness against the baseline and agree what to extend next.
How much does ETL & Data Pipeline Development cost in India?
Most ETL & Data Pipeline Development projects start with a Data Assessment (1–2 weeks, fixed price), which fixes the scope, team and price before you commit. Pipeline Build takes 3–8 weeks at a fixed price per phase. Data Platform Support runs on a monthly retainer. Prices exclude GST. Cloud hosting and third-party usage, such as messaging, payment or AI model charges, are paid at cost.
Data Assessment
Teams planning a data or reporting project.
- Duration
- 1–2 weeks
- Pricing
- Fixed price
- Source review
- Quality findings
- Roadmap
Pipeline Build
Teams connecting systems to a warehouse.
- Duration
- 3–8 weeks
- Pricing
- Fixed price per phase
- Pipelines
- Tests
- Monitoring
Data Platform Support
Teams running pipelines every day.
- Duration
- Ongoing
- Pricing
- Monthly retainer
- Monitoring
- New sources
- Fixes
What drives the price
- Number of modules, workflows and user roles
- Integrations with your ERP, CRM, payments, GST or messaging tools
- Volume and quality of data to migrate
- Compliance, security and audit requirements
- Mobile apps, offline use or multiple languages
Always included
- Fixed scope and price before build starts
- Weekly working demos and human approval gates
- Training, documentation and 30 days of hypercare
- Your code, data and IP, owned by you
See Stack18 pricing or compare fixed price and time and materials.
What we have shipped, and what a typical engagement looks like.
Delivered projects link to the full case study. Illustrative scenarios describe typical engagements and are not named client results.
Logistics company
- Challenge
- Shipment data from a TMS, ERP and courier APIs was combined in Excel.
- What we do
- Airbyte and Airflow pipelines into a warehouse with dbt models and freshness alerts.
- We would measure
- Pipeline success rate, data freshness, time to add a source, against a baseline agreed in week one.
6 weeks
Fintech lender
- Challenge
- Risk teams needed loan events in near real time.
- What we do
- Change data capture from the loan system into a warehouse via Kafka.
- We would measure
- Pipeline success rate, data freshness, time to add a source, against a baseline agreed in week one.
7 weeks
Ethnic wear D2C, Jaipur
- Challenge
- A ₹100+ crore brand needed website, app and back office to share one catalogue and one record of stock and orders.
- What we do
- Nine specialists built website, mobile app and ERP on one connected foundation in two-week sprints.
3 months
Read the case study →We agree targets before we start.
Free pipeline design session
List your sources and goals. We sketch the architecture.
- Architecture sketch
- Tool options
- Effort estimate
Built for these industries.
ETL & Data Pipeline Development questions.
Cost, timelines, integrations and ownership. If your question is not here, ask a senior specialist on a free 30-minute call.
Ask us anythingHow much does ETL & Data Pipeline Development cost in India?
Most ETL & Data Pipeline Development projects start with a Data Assessment (1–2 weeks, fixed price), which fixes the scope, team and price before you commit. Pipeline Build takes 3–8 weeks at a fixed price per phase. Data Platform Support runs on a monthly retainer. Prices exclude GST. Cloud hosting and third-party usage, such as messaging, payment or AI model charges, are paid at cost.
ETL or ELT?
ELT, loading raw data first and transforming in the warehouse, suits most cloud warehouses. ETL still fits some cases, such as heavy masking before loading.
Which tools do you use?
Airbyte, Fivetran, Airflow, Dagster, dbt, Kafka, AWS Glue, Azure Data Factory and Google Dataflow, chosen for your stack and budget.
Can you extract data from Tally?
Yes, through Tally’s export or ODBC interfaces, or via a connector.
How do we know if a pipeline fails?
Monitoring sends alerts for failures, delays and quality issues to email, Slack, Teams or WhatsApp.
Do you provide ETL & Data Pipeline Development across India?
Yes. Stack18 is headquartered in Jaipur, Rajasthan, and delivers ETL & Data Pipeline Development for businesses across India, including Delhi NCR, Mumbai, Bengaluru, Pune, Hyderabad and Ahmedabad. Work runs remotely with weekly demos, and on-site workshops are arranged for key milestones.
Let's scope your ETL & Data Pipeline Development project.
Tell us where you are and where you want to be. A senior specialist will reply within one business day with next steps.
- Free 30-minute consultation
- Indicative estimate after the call
- NDA available on request