Does Aeonext provide data engineering services in Uttarakhand?

Yes. Aeonext is based in Haldwani, Uttarakhand, and builds data pipelines, data warehousing and reporting systems for businesses and public sector organisations across the state.

Can you handle data for government or public sector projects?

Yes. We design secure data-handling systems for public sector and government use cases — structured data collection, validation, storage and reporting dashboards built to the access-control and compliance requirements of the project.

What is the difference between data engineering and data science at Aeonext?

Data engineering is the pipelines, storage and infrastructure that make data reliable and accessible. Data science and machine learning modelling on top of that data is handled by our AI & Agentic Development team — see our AI development page for that side of the work.

What tools and platforms do you use for data engineering?

We work with SQL and NoSQL databases, cloud data warehouses, Python-based ETL pipelines, and BI tools such as Power BI and Metabase, deployed on AWS, Azure or Google Cloud depending on the client's existing infrastructure.

Data Engineering & Analytics

Reliable data pipelines, dashboards and secure data-handling systems for businesses and public sector projects in Uttarakhand and across India.

Data Pipelines & Warehousing

Most organisations don't have a data problem — they have a data-plumbing problem: numbers locked in spreadsheets, forms and disconnected systems. We design and build data pipelines that collect, clean and centralise your data into a proper warehouse, so it can actually be queried, reported on and trusted.

Whether your source data comes from web and mobile applications, IoT sensors, third-party APIs or manual field surveys, we build the ETL/ELT jobs that keep it flowing reliably, with validation and monitoring so bad data gets caught early.

Data pipeline and analytics illustration

Analytics, Dashboards & Reporting

Turn raw data into decisions your team can act on

Business intelligence dashboards (Power BI, Metabase & custom)
Automated MIS and compliance reporting
KPI tracking for operations, sales and finance
Data quality checks and governance

Government & Public Sector Data Handling

Structured, secure data systems for public sector projects in Uttarakhand

We build data-handling systems for public sector and government use cases — structured data collection from the field, validation, role-based access control, and reporting dashboards for oversight bodies. Every project is built to the specific security, access-control and audit requirements the department or agency requires.

Field data collection apps and digitisation of paper records
Role-based access control and audit trails
Reporting dashboards for department oversight
Data migration from legacy government systems

Secure government and public sector data handling

Data Science & Machine Learning

Where analytics ends and modelling begins

Once your data pipeline and warehouse are solid, we can layer predictive models, forecasting and machine learning on top — from demand forecasting to anomaly detection. Deep model-building and Agentic AI work is handled by our AI & Agentic Development team, so your data infrastructure and your AI roadmap are designed together, not bolted on separately.

Data Stack We Work With

SQL & NoSQL

Cloud Data Warehouses

Python ETL Pipelines

Power BI & Metabase

Data Engineering — Frequently Asked Questions

Yes. Aeonext is based in Haldwani, Uttarakhand, and builds data pipelines, data warehousing and reporting systems for businesses and public sector organisations across the state.
Yes. We design secure data-handling systems for public sector and government use cases — structured data collection, validation, storage and reporting dashboards built to the access-control and compliance requirements of the project.
Data engineering is the pipelines, storage and infrastructure that make data reliable and accessible. Data science and machine learning modelling on top of that data is handled by our AI & Agentic Development team.
We work with SQL and NoSQL databases, cloud data warehouses, Python-based ETL pipelines, and BI tools such as Power BI and Metabase, deployed on AWS, Azure or Google Cloud depending on the client's existing infrastructure.

Have a data project in mind?

From a first dashboard to a full data platform, let's talk about what your data can do for you.

Talk to us