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Available for new engagements

Data platforms that stay up, from the plant floor to the cloud.

I’m Pranoy Sinha, an independent Cloud, Industrial IoT and Data Platform Architect. I design and build telemetry pipelines, highly available PostgreSQL and multi-cloud infrastructure on AWS, Azure and OCI, with AI features grounded in your own data.

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17+ years in production systemsIST (UTC+5:30) · Overlaps UK/EU working hoursRemote, worldwide
fig.01 — a typical engagementedge → cloud → insight
17+ yrsIndustry, web & cloud engineering
3 cloudsAWS · Azure · Oracle OCI
6 certsMicrosoft, Oracle, Securiti, NPTEL
Since 2008Delivering for clients in India & abroad
What I do

Three disciplines that usually live in different teams.

Most IIoT and data projects stall at the seams between devices, cloud and databases. I work across all three, so the architecture holds together end to end.

Industrial IoT & Telemetry

From PLCs and edge gateways to a queryable time-series store — ingestion that survives network drops, bursts and schema drift.

  • MQTT ingestion from PLCs and edge gateways, with buffering
  • Kafka streaming and topic design for plant telemetry
  • TimescaleDB / PostgreSQL time-series modelling and retention
  • Grafana dashboards, alerting and operator views
MQTTKafkaTimescaleDBPostgreSQLGrafanaDocker

Cloud & Platform Engineering

Multi-cloud infrastructure that is reproducible, observable and cheap to run — built as code from day one.

  • AWS, Azure and OCI landing zones and network design
  • Terraform modules, multi-region and Transit Gateway peering
  • Docker / Kubernetes, CI/CD with GitHub Actions and Jenkins
  • Blue-green releases, rollback and cost optimisation
AWSAzureOCITerraformKubernetesGitHub Actions

Data Platforms & Applied AI

Databases that don’t go down, backups you have actually restored, and AI features grounded in your own data.

  • PostgreSQL HA (Patroni / etcd / HAProxy) and DR drills
  • pgBackRest to S3 with lifecycle tiering; zero-downtime migrations
  • Oracle 23ai / ADB, APEX and vector search
  • NL-to-SQL assistants, MCP servers and GenAI on OCI
PostgreSQLOracle 23aipgBackRestAirflowFastAPIMCP
Selected work

Real systems, real constraints.

Client names are withheld under NDA; the architecture is not.

All case studies
Industrial IoT

Industrial IoT data platform with multi-cloud PostgreSQL HA

A telemetry and analytics platform for industrial equipment, backed by a PostgreSQL 17 cluster that stays up across cloud providers.

PostgreSQL 17PatronietcdHAProxypgBackRest
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Applied AI

AI Data Explorer: ask your plant data questions in plain English

A natural-language-to-SQL assistant that lets operations staff query production data without writing SQL.

Oracle APEXOracle Select AIOCI Autonomous DBOpenAI GPT-4o-miniFastAPI
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Retail / Applied AI

Retail assistant chatbot on an MCP server

A chatbot that answers product, stock and order questions by calling tools over the Model Context Protocol against a live retail database.

FastAPIMCPReactPostgreSQLAWS EC2
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Ways to work together

Pick the shape that fits.

From a one-off architecture review to an ongoing part-time role on your team.

Compare engagement options

How I work

Small, reversible steps. Everything as code.

A clear four-phase process, written updates and a daily overlap with UK and European working hours.

The full process
01 · Days 1–5

Discovery

02 · Week 2

Blueprint & Proof of Concept

03 · Weeks 3+

Automated Rollout

04 · Final week

Handover & Runbooks

Certifications
MicrosoftAZ-104MicrosoftAZ-400OracleOCI Multicloud ProOracleOCI ArchitectSecuritiAI Sec & GovNPTEL / IITPython — NPTEL

Have a platform that needs to scale, stay up, or move clouds?

Tell me what you’re building. You’ll get a reply within one working day — with questions, not a sales pitch.

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