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Data Engineering

All your data. One source of truth.

Your numbers live in a dozen tools and never agree. We consolidate them into a governed cloud data warehouse: clean, historical, and ready for reporting, BI, and AI. Complete data warehousing setup for companies in the USA, UK, and India.

1
Source of Truth
10x
Faster Reporting
99.9%
Pipeline Uptime
AI-ready
Clean Data
  • Snowflake
  • BigQuery
  • Redshift
  • dbt
  • Airflow
  • Kafka
  • Fivetran
  • PostgreSQL
  • Parquet

Key Takeaways

  • Parix Digital builds modern cloud data warehouses (Snowflake, BigQuery, Redshift) that unify every tool into one governed source of truth.
  • Includes reliable ETL/ELT pipelines, dbt data modeling, governance, and a BI semantic layer.
  • Delivers trustworthy, AI-ready data with full history. No more conflicting reports or manual CSV exports.

The Reality

You have plenty of data. You just can't trust it.

Data Silos Everywhere

Sales in the CRM, finance in accounting, ops in spreadsheets. No one can answer a cross-team question without a week of exports.

Reports Take Days

Analysts spend more time gathering and cleaning data than analysing it.

Conflicting Numbers

Two reports, two different revenue figures, and an hour-long meeting about whose spreadsheet is right.

No History

Systems overwrite data, so you can't see trends, compare periods, or audit what changed and when.

Manual CSV Gymnastics

Critical dashboards depend on someone exporting CSVs every Monday. It breaks the moment they're on leave.

Can't Support AI/ML

Messy, scattered data means any AI or forecasting project stalls before it starts.

What We Deliver

A governed warehouse your whole company trusts

01

Data Audit & Architecture

We catalogue every source and design the right warehouse architecture.

  • Source System Inventory
  • Warehouse Selection
  • Cost & Scale Planning
  • Reference Architecture
02

ETL/ELT Pipelines

Automated, monitored pipelines that ingest data from every tool reliably.

  • Connectors (Fivetran/Custom)
  • Incremental Loads
  • Schema Drift Handling
  • Retry & Alerting
03

Data Modeling

Clean, documented models built on star schema and dbt.

  • Star/Dimensional Models
  • dbt Transformations
  • Version-controlled Logic
  • Reusable Metrics
04

Governance & Quality

Tests, access control, and lineage.

  • Automated Data Tests
  • Role-based Access
  • Column-level Lineage
  • PII Handling & Masking
05

BI & Semantic Layer

A consistent metrics layer for every BI tool.

  • Semantic Metric Layer
  • Power BI/Looker/Metabase
  • Self-serve Datasets
  • Curated Dashboards
06

Orchestration & Monitoring

Scheduled, observable pipelines.

  • Airflow/Dagster
  • Freshness & SLA Checks
  • Failure Alerting
  • Cost Monitoring

Tools & Technology

The stack behind the work

Warehouses

Snowflake, BigQuery, Redshift, Databricks

Ingestion

Fivetran, Airbyte, Kafka, CDC

Transform

dbt, SQL, Python, Spark

BI & Orchestration

Power BI, Looker, Metabase, Airflow

Process

How we get you live

  1. 01

    Assess

    Inventory sources, define metrics, choose the architecture.

  2. 02

    Model

    Design clean, documented data models.

  3. 03

    Pipeline

    Build automated ELT pipelines and load history.

  4. 04

    Operationalise

    BI layer live, tests and monitoring in place, team trained.

Why Parix Digital

Data infrastructure built to be trusted.

  • One governed source of truth across all tools
  • Reliable, monitored pipelines. No Monday CSV panic
  • Full history retained for trends and audits
  • Documented models anyone on the team can use
  • AI/ML-ready clean data foundation
  • Cost-tuned for your data volume
We've worked with many agencies in the past, but Parix Digital stands out. Their SEO + automation combo was exactly what we needed to boost organic traffic and streamline operations.

Radhika Vyas

Local Guide, 10 reviews, Jun 2025

I worked with Shlok on several projects and I was always happy with the results. Recommended!

Sven Hepting

Local Guide, 12 reviews, Jun 2025

Proven Results

Related case studies

FAQ

Frequently Asked Questions

Which data warehouse should we use?

It depends on your stack, scale, and budget. We are platform-agnostic and recommend Snowflake, BigQuery, or Redshift based on your needs. All three offer US and UK/EU regions, so data can stay resident where your compliance team needs it.

Can you pull data from all our tools?

Yes. We connect CRMs, ERPs, ad platforms, databases, spreadsheets, and SaaS APIs using managed connectors or custom pipelines, covering the common US SaaS stack (Salesforce, HubSpot, Stripe) and UK favourites (Xero, Sage) alike.

Will this work with our BI tool?

Yes. We build a clean semantic layer that feeds Power BI, Looker, Metabase, Tableau, or whatever you use.

How do you ensure the data is accurate?

We add automated data-quality tests, freshness checks, and column-level lineage, plus alerting. PII is masked and access is role-based, aligned with UK GDPR and US privacy laws such as the CCPA.

Will this prepare us for AI and ML projects?

Absolutely. A clean, governed warehouse is the foundation for any serious analytics or AI work, and it's the first thing we build before data science engagements in the US, UK, or India.

Ready to build your Data Warehousing?

Tell us about your goals and current setup. We'll get back to you within 24 hours with a tailored plan.

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UK · India · USA  |  Enterprise Grade Delivery  |  24hr Response Time