DS
Deepak Suhag
Expert Analytics & BI Service
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Data Analytics

From raw events to revenue-driving decisions

End-to-end data analytics — event instrumentation, ETL pipelines, data warehouse modelling, and statistical analysis — delivering insight pipelines your team can trust.

10+Years building AI
50+Projects delivered
98%Client satisfaction
72hAvg. first response
Why work with us

What you get

Every engagement is designed around clear business outcomes — not just technical deliverables.

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Solid Foundation

A clean, documented data model that won't collapse when business logic changes.

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Fast Time-to-Insight

Optimised queries and materialised views mean answers in seconds, not minutes.

Data Quality

dbt tests and Great Expectations checks run on every pipeline refresh automatically.

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Privacy Compliant

PII masking, data retention policies, and audit trails built into the pipeline.

Why Deepak Suhag

Built Different. Delivered Different.

We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.

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10+ Years of Production AI

We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.

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Results-Driven, Not Hours-Driven

We measure success by your business outcomes: reduced costs, more revenue, faster operations.

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Deep Technical Depth

Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.

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Radical Transparency

We tell you when AI is not the right answer. Our goal is your success — not our revenue.

Our Approach

How we work

A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.

01

Instrumentation Audit

Review what events are tracked, identify gaps, and implement fixes in your product.

02

Warehouse Design

Design a star or snowflake schema in BigQuery, Snowflake, or Redshift.

03

Pipeline Build

Reliable ELT with Airbyte + dbt or Fivetran + dbt that runs unattended.

04

Analysis Layer

Semantic layer and BI connection so analysts work with business terms, not SQL.

05

Insights & Reporting

Automated weekly insight digests delivered to Slack or email.

Technologies We Use

Our tech stack

We pick the best tool for the job — not the one we happen to know. Here is what powers our Data Analytics engagements.

Warehouses

🔵BigQuery❄️Snowflake🟠Redshift🦆DuckDB

Pipeline Tools

⚙️dbt🔄Airbyte📥Fivetran💨Apache Airflow

Analysis

🐍Python/pandas📊SQL📐R📓JupyterGreat Expectations

BI Layer

👓Looker🏔️Metabase💛Power BI⚙️dbt Semantic Layer
What we build

Typical projects

From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.

Product analyticsMarketing attributionRevenue forecastingChurn prediction dataOperational reporting
Our Engagement Models

Choose how we work together

No one-size-fits-all pricing. We adapt to your project type, team size, and budget.

Most Popular
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Fixed-Price Project

Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.

  • Detailed scope document
  • Fixed-cost proposal
  • Milestone-based payments
  • 30-day post-launch support

Ideal for: Defined projects with clear requirements

Best for Growth
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Monthly Retainer

Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.

  • Dedicated senior engineer hours
  • Weekly strategy calls
  • Priority support SLA
  • Monthly roadmap reviews

Ideal for: Growing SaaS and product companies

Enterprise
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Team Augmentation

Dedicated engineers embedded in your team — same timezone, same tools, same Slack.

  • Full-time dedicated engineers
  • Direct Slack/Teams access
  • Embedded sprint participation
  • Knowledge transfer sessions

Ideal for: Enterprises scaling their tech teams

FAQ

Common questions

Still have questions? Ask us directly →

We have data in spreadsheets — can you work with that?

Yes — we ingest spreadsheets as a starting point and migrate you to a proper warehouse incrementally.

How often will the pipeline refresh?

Typically hourly or daily, depending on data volume and cost tolerance. Near-real-time is available.

Do we need a dedicated data engineer?

No — we build pipelines designed for low-maintenance operation, with runbooks for your team.

Ready to start?

Let's build something
extraordinary together.

Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.

Ask Deepak's AIHow can I help scale your growth?