Data Engineering Services to Power Your Analytics & AI.

We build the data pipelines that move, clean, and organize your data — so your analytics, reports, and AI always run on data you can trust. Built on AWS, GCP, and Cloudflare.

Get a Free Data Assessment

What data engineering really involves

Data engineering is the behind-the-scenes work that gets your data ready to use — collected, cleaned, and stored in one reliable place, so your analytics, reports, and AI run on data you can trust.

Data pipelines & integration

We connect your apps and databases and move data between them automatically.

ETL & data transformation

We clean, standardize, and reshape raw data into a usable, consistent form.

Data warehouses & lakes

We set up a single, query-ready home for your data on the cloud.

Data quality & monitoring

We add checks, tests, and alerts so your data stays accurate and dependable.

Our data engineering capabilities

Data pipeline development

Automated pipelines that move data from your apps, databases, and APIs into one place — on a schedule or in real time.

AirflowFivetrandbt

ETL & ELT development

Extract, clean, and transform raw data into structured, analysis-ready tables your team can rely on.

dbtSparkPython

Data warehouse & lake setup

Design and build your warehouse or lake on Snowflake, BigQuery, or Redshift as a single source of truth.

SnowflakeBigQueryRedshift

Data integration & migration

Connect siloed systems and move data between tools — or to the cloud — without loss or downtime.

FivetranAPIsCDC

Real-time & streaming data

Stream events as they happen, so dashboards, alerts, and AI act on fresh data instead of yesterday’s.

KafkaKinesisPub/Sub

Data quality, governance & monitoring

Validation, tests, alerts, and access controls that keep your data accurate, secure, and compliant.

Great ExpectationsAlerts

Cloud platforms we build on — AWS, GCP, Cloudflare.

Vendor-neutral

99.9%

Pipeline uptime we design and monitor for.

Reliability target

2–4 wks

From kickoff to your first live data pipeline.

Typical first pipeline

Single

Source of truth your whole team and AI can rely on.

One clean dataset

100%

Vendor-neutral builds, with no lock-in.

Cloudmate standard

6+ yrs

Average data & cloud experience of our engineers.

Cloudmate team

Our approach to building your data stack

Discovery & data audit

We map your data sources, systems, and goals, and review what you have today.

Architecture & design

We design the right pipelines, data model, and warehouse for your needs.

Build & integrate

We build the pipelines, connect your sources, and set up the warehouse or lake.

Test & validate

We check data quality, accuracy, and performance before anything goes live.

Deploy & monitor

We ship to production and add monitoring, alerts, and ongoing support.

Our data engineering toolkit

Cloud & warehouses

AWS

Google Cloud

Cloudflare

Snowflake

Pipelines & streaming

dbt

Kafka

Python

Databases & storage

PostgreSQL

MongoDB

Redis

Supabase

Infrastructure & orchestration

Docker

Kubernetes

Terraform

GitHub Actions

Industries we build data foundations for

Healthcare

HIPAA · HL7 · FHIR

HIPAA-compliant data pipelines
Patient data integration
Real-time clinical dashboards

Retail & eCommerce

PCI-DSS · OMS · POS

Unified customer data
Real-time inventory pipelines
Analytics-ready data warehouse

Insurance

IRDAI · SOC 2 · GDPR

Claims & policy data integration
Compliant data warehouse
Fraud-detection data pipelines

Real Estate

CRM · MLS

PropTech data pipelines
Property & lead data integration
Market analytics dashboards

The questions we get most.

Do you build new data pipelines, or improve the ones we already have?

Both. We build new pipelines from scratch, and we also audit, fix, and optimize existing ones — improving reliability, speed, and cost without rebuilding everything. We start by reviewing what you have today.

Can you connect all our data sources — apps, databases, and APIs?

Yes. We connect your apps, databases, SaaS tools, files, and APIs into one place, with pipelines that keep everything in sync automatically — on a schedule or in real time.

Can you migrate us to a modern data warehouse like Snowflake or BigQuery?

Yes. We design and migrate your data into a modern warehouse or lake on Snowflake, BigQuery, or Redshift — moving your data safely, without loss, and giving you one reliable source of truth.

Do we need data engineering if we already use a BI tool like Power BI or Looker?

Often yes. BI tools visualize data, but they’re only as good as the data feeding them. Data engineering builds the clean, unified, reliable pipelines behind your dashboards — so your reports are accurate and fast instead of pulling from scattered, messy sources.

How do you make sure our data stays accurate and reliable?

We build in validation, automated tests, and monitoring with alerts, so issues are caught before they reach your reports. Data quality and governance are part of every pipeline we build, not an afterthought.

How do you keep our data secure and compliant?

We build security in from the start — encryption, access controls, and monitoring — and align your pipelines to the standards you need, such as HIPAA, SOC 2, or GDPR. Data quality checks and governance keep your data accurate and auditable.

Can you get our data ready for AI and machine learning?

Yes — clean, well-structured data is what makes AI work. We build the pipelines and analysis-ready datasets your models need, so your AI runs on trustworthy data instead of messy inputs.

Which cloud platforms and tools do you build on?

We build on AWS, Google Cloud, and Cloudflare, with tools like Snowflake, dbt, Kafka, and PostgreSQL. We’re vendor-neutral and pick the right stack for your data, budget, and team.

How long does it take to build a data pipeline?

A focused pipeline can be live in 2–4 weeks. A full data platform — multiple sources, a warehouse, and quality checks — typically takes 6–12 weeks depending on complexity. We start with a clear plan so you see value early.

How do we get started with a data engineering project?

It starts with a free data assessment — we map your sources, goals, and current setup, then give you a clear plan and scope. From there we build in phases so you see value early. Just book an assessment to begin.

Beyond data engineering — services and solution.

Other services

Cloud MigrationAWS, Azure, GCP — zero-downtime migrations.Cloud ConsultingStrategy, architecture, and cost optimization.Workflow AutomationCross-tool automations that ship in weeks.

Solution · Cloud-native

Custom AI CRM

Not a service — a product. A cloud-native AI CRM that runs on the clean, connected data we build for you.

Explore the Solution

Need data you can actually trust?

We'll build the pipelines, warehouses, and quality checks behind reliable data.

Email Ushello@cloudmates.co Call or WhatsApp+91 96243 00546