Data platform
A warehouse or lakehouse with a catalog and lineage, so people know where each number comes from and who owns it.
Data engineering
Data Engineering and Analytics Services
Bluelupin builds data platforms and dashboards that pull numbers from your ERP, CRM, HR and other systems into one trusted place. We design the warehouse or lakehouse, build the pipelines that load and check the data, and create BI dashboards for leaders and teams. For machine learning and AI systems, see AI Solutions.
What we build
As a data analytics company in India working with teams in India and abroad, we build three things that work together: a place to keep the data, pipelines that fill it, and dashboards that people use every day.
Pipelines
Data loaded from your systems on a schedule or as it changes, with checks at each step before it reaches a report.
Dashboards
KPI scorecards and reports for operations, finance and leadership, on desktop and mobile.
Choosing a warehouse, lake or lakehouse
Data warehouse development starts with one choice: where the data lives and how it is queried. We recommend the design based on your data volume, your query patterns and your team's skills.
Warehouse
Structured data from your business systems, modeled for fast reporting. We build warehouses on Redshift or BigQuery.
Lake
Large or mixed data, such as files, logs and exports, stored at low cost in S3 and queried with Athena when needed.
Lakehouse
Both in one design: cheap storage for raw data and warehouse tables for reporting, often on AWS.
Redshift
BigQuery
Athena
S3
Pipelines and data quality checks
Data pipeline development is most of the work on a data project. A report is only as good as the data that feeds it, so every pipeline we build checks the data as it moves.
How we load and move data
We bring data in from source systems by API, change data capture (CDC) or batch ETL, orchestrate the runs with Airflow or AWS Step Functions and write the transformations in dbt. Where numbers are needed in real time, we use streaming or event pipelines.
How we keep the numbers right
Validation rules catch bad records, anomaly alerts flag unusual totals, and reconciliation checks compare each load against the source system. Data contracts and shared master data mean a change upstream cannot silently break a report.
Airflow
Step Functions
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dbt
Python
Systems we bring data from
We connect the systems your teams already run and bring their data into one analytics layer. When you only need two systems to exchange data, with no reporting on top, see API and Integration Services.
- ERP, including ERPNext
- CRM, such as Salesforce, Zoho or HubSpot
- HR systems
- Slack or Microsoft Teams, where the data is useful
- Custom applications and databases
BI dashboards for leaders and teams
BI dashboard development is where the data reaches people. We build dashboards in the BI tool you already use, such as Power BI or Amazon QuickSight, or as a custom dashboard in your app.
Executive scorecards
The few numbers leadership reviews each week, with the trend and the source behind each one.
Operations dashboards
Daily figures for the teams that run the work, on desktop and mobile.
Embedded analytics
Charts and reports inside your own web app or portal, so users do not switch tools.
Self-service reporting
Business users explore the data and build their own views, without a ticket for every report.
Getting data ready for AI projects
Clean, documented data is the first step for any AI project. When you want AI built on your data, such as agents, search or document processing, our AI Solutions team takes it from there.
| You need | Use |
|---|---|
| Warehouses, pipelines, BI dashboards | Data Engineering and Analytics (this page) |
| Machine learning, predictive models, AI systems | AI Solutions |
| Moving data during an ERP change | ERP Development and Modernization |
| One-off system connections | API and Integration Services |
How a data project runs
Every data project follows the same five steps, so you agree the questions and the quality rules before anything is built.
Discover
The questions the business needs answered, the systems that hold the data and the people who own each source.
Design
The platform, the data models and the quality rules, reviewed with the people who will use the reports.
Build
The pipelines and the first dashboards, tested against numbers your teams already know.
Launch and train
Handover to your team with documentation, and training for the people who use the dashboards.
Support
Changes and new sources as the business grows, by your team or through Application Support and Maintenance.
How long it takes: A focused module usually takes 8 to 12 weeks, and a larger program 4 to 9 months in phased releases.
Data work we have shipped
Tri Marine OPS
Tri Marine, a global supplier of tuna and tuna products, needed a cloud-based central operations portal to track and report its operations across global supply chains. We built the portal on Microsoft Azure, with real-time dashboards and operational reports, and integrations that connect field teams with the company's enterprise systems.
Data engineering and analytics FAQs
Common questions about data engineering and analytics.
Do you build data warehouses or data lakes?
Both. We recommend the design based on your data volume, query patterns and team skills. Often that is a lakehouse on AWS, for flexibility and cost control.
Can you integrate data from ERP and SaaS tools?
Yes. We bring in data from your ERP, including ERPNext, CRM tools such as Salesforce, HR systems and custom applications through APIs, change data capture and batch ETL, into one analytics layer.
How do you ensure data quality?
We use validation rules, anomaly alerts, reconciliation checks and data contracts, so the people who use the reports can trust the numbers.
Do you build machine learning or predictive models?
This page covers data platforms, pipelines and dashboards. When you want AI built on your data, such as agents, search or document processing, see AI Solutions.
Which BI tools do you work with?
We build dashboards in the BI tool your team already uses, or as custom dashboards inside your own web app.
Book a consultation
Tell us which numbers your leaders do not trust today. Response within one business day.
Book a consultationOr email sales@bluelupin.com or call +91 99100 24224