Jyotendra Sharma

I design the data layer for industrial IoT:
Edge to cloud pipelines, event-driven ingestion, and time-series analytics for systems that move real volume. Eleven years building backend and distributed systems, now working on plant floor data.

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About Me

I build systems that collect data off physical infrastructure and turn it into something usable.
Most of my work now is industrial. I’m building an edge gateway that reads PLCs and sensors over Modbus and OPC UA, an event-driven ingestion pipeline on AWS, and a time-series analytics layer on TimescaleDB that runs the same way on a customer’s cloud or fully on premise.

Before that I spent eleven years in backend and distributed systems, including Rust services for analytics at a US SaaS company and a team of eight delivering real-time video analytics across a smart-city deployment. Earlier work covered supply chain platforms, demand forecasting and warehouse systems.

I work in Rust, Go and Python. I’m based in Indore and work remotely.

What Services I’m Providing

Independent consulting for teams handling high-volume event and time-series data. Project-based or retainer.

IoT and edge architecture

Getting data off machines that were never designed to share it. Protocol integration over Modbus, OPC UA and MQTT, edge gateway design, local buffering and store-and-forward, and OTA update strategy for fleets you can’t physically reach.

Event-driven systems

Ingestion pipelines that hold up when volume grows. Streaming architecture, backpressure and delivery guarantees, and the trade-offs between managed services and self-hosted infrastructure, including what each costs to run.

Time-series data and analytics

Storage and query design for data that arrives continuously and is mostly never read. Schema and retention design on TimescaleDB and Postgres, downsampling and tiering strategy, and query patterns that stay fast as the table grows.