Pankaj Kumar Pramanik / AI & Data Engineer

YOUR DATA.REALINTELLIGENCE.IN ACTION.

I connect data, AI, and automation to build systems that make your work flow better.

Global experience
8+ years
I can start immediately
40h/wk
Upwork • LinkedIn
10+ reviews

Explore my approach

Give your data direction.

Real-world AI solutions for real business problems.

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Trusted by global clients
across industries.
FastAPILangGraphn8nCloud (AWS, GCP, Azure)DBTSnowflakeBigQuery

Point of view

Good decisions need reliable data. I connect scattered sources, build tested, governed pipelines, and define metrics people trust, so every report and AI feature stands on solid ground.

01 / System architecture

From raw datato trusted decisions.

Scroll through the four steps of a modern data platform, or pick a stage in the diagram to see what it does.

  1. Databases, APIs, files and SaaS tools land in a raw layer exactly as received, so the original is always there to check against.

  2. Data is cleaned, tested and modelled. Quality checks run on every load, so problems surface before anyone sees a report.

  3. Agreed metrics are defined once and reused by every dashboard, analysis and AI feature, so the numbers match everywhere.

  4. Orchestration, lineage and monitoring wrap every run, so each number can be traced, explained and trusted.

Modern data platform

Control planeData plane

Raw layer

Control plane

Unified data plane

Hover a stage to inspect it

  1. Data EngineeringPrimary career direction
  2. Data AnalyticsPrimary career direction
  3. AI SecurityGrowing focus
  4. CloudSupporting infrastructure
  5. AI EngineeringApplied systems

I’m building my long-term career around Data Engineering and Data Analytics. Alongside my current work, I’m developing a deeper focus on AI Security, supported by cloud infrastructure and AI engineering.

A good place to start

Find the right service.

What would you like to move forward?

Your starting point / 01

Reliable data. Ready to use.

Connect scattered sources, build dependable pipelines, and make the information your team needs ready to use.

Outcome

A clear data model, tested pipelines, usable reporting, and production-ready infrastructure.

A practical partnership

Good systems startwith good conversations.

Tell me what’s getting in the way, what you want to build, and what success would look like. We’ll start with a clear scope and the next useful step.

Let’s chat