Service

Data Science & Engineering

We design and operate the full data stack — pipelines, warehouses, governance and dashboards — so your organization makes evidence-based decisions on trusted data.

End-to-end data pipeline design, cloud warehousing, governance, and visual analytics that leadership actually uses.

Capabilities

What we deliver

Each capability is a service we ship into production — not a slide.

01
Pipelines

Data Engineering & Modernization

dbt, Airflow, Azure Data Factory, Informatica — governed, reliable, production-grade pipelines.

02
Storage

Cloud Data Warehousing

Snowflake, Databricks, Azure Synapse Analytics — scalable, cost-efficient analytical stores.

03
Trust

Data Governance & Quality

Collibra, Great Expectations — metadata, lineage tracking, policy enforcement.

04
BI & Visualization

Visual Analytics

Power BI (DAX, RLS, scheduled refresh), Tableau, Qlik — embedded in Azure and M365.

05
ML

Predictive Modelling

Forecasting, classification, anomaly detection — interpretable & audit-ready.

06
Insights

Real-Time Dashboards

Boardroom-ready dashboards with row-level security and live refresh.

01

What We Deliver

  • Data architecture & cloud warehouse design
  • Production-grade ETL/ELT pipelines
  • Governance, lineage & data quality frameworks
  • Predictive & statistical modelling
  • Boardroom-ready dashboards with row-level security
  • Modernization of legacy data platforms
02

Business Outcomes

  • Faster, evidence-based decisions
  • Reduced manual analytics effort
  • Reliable forecasts & real-time KPIs
  • Trusted, governed data infrastructure
03

Key Strengths

  • Data products designed around the decision they support, not the dataset available
  • Boardroom-ready dashboards with row-level security your leadership can trust
  • One team covers pipelines, modelling and visualization — no coordination gaps
  • Lineage and data quality tracking so your team knows where every number comes from
Technology Stack

The toolkit behind the work

Modern, proven tools — selected for what fits your problem, not for what's trending.

Pipelines

dbtApache AirflowAzure Data FactoryInformatica

Warehouses

SnowflakeDatabricksAzure Synapse Analytics

Governance

CollibraGreat Expectations

BI & Visualization

Power BITableauQlikAzure Synapse

ML / AI

PyTorchTensorFlowscikit-learn

Languages

PythonSQLSparkScala
Our Approach

How we engage

01

Frame

Anchor every data product to the business decision it informs.

02

Engineer

Build governed pipelines and a trusted single source of truth.

03

Model

Predictive / statistical models validated against holdout data.

04

Deliver

Dashboards, MLOps and ownership transfer for continuous use.

How we approach this

Engineering with intent

We design data products around the decision they're meant to support — not around the dataset that happens to be available. Every pipeline, model and dashboard is tied back to a measurable business question.

On the engineering side we build governed, reliable production-grade data pipelines with dbt, Airflow and Azure Data Factory — feeding cost-efficient cloud warehouses on Snowflake, Databricks or Azure Synapse Analytics.

On the analytics side we deliver real-time, boardroom-ready dashboards in Power BI and Tableau — with row-level security, scheduled refresh, and lineage tracking via Collibra so leadership can trust the numbers.

Ready to discuss Data Science & Engineering?

Send us a message and we'll help you define the right scope, timeline, and delivery plan.

Contact Us

Email

info@azistinc.net

Phone

+1 703-862-2922

Offices

US · India