CLOUD & IOT DATA ENGINEER · PUNE, INDIA

Pipelines that move
fleet data from the
edge to insight.

I design and run production telemetry systems — routing sensor data from thousands of connected EV bikes through AWS IoT Core into Snowflake, PostgreSQL and time-series stores, at scale.

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4+Years Experience
1000sConnected Devices
AWSIoT · Snowflake · ETL
Amit Kathayat
SYSTEM.TRACE — EV BIKE TELEMETRY PIPELINE STREAMING
Bike
Sensor / MQTT
AWS
IoT Core
Timestream /
InfluxDB
Python
ETL
S3 /
PostgreSQL
Snowflake
Analytics
01

About

I'm Amit, a Cloud Data Engineer based in Pune with four years of hands-on experience building and operating data infrastructure for connected fleets. My core work sits at the intersection of IoT ingestion and cloud data platforms — the systems that turn a physical bike's sensor readings into something a business can query, trust and act on.

Day to day, that means provisioning IoT devices at scale with X.509 certificates, designing MQTT-to-cloud ingestion paths through AWS IoT Core, and administering Snowflake environments that power downstream analytics — from Snowpipe ingestion to warehouse performance tuning.

I'm currently expanding into containerized infrastructure and IaC — Docker, Terraform, ECR and EKS — to round out a cloud engineering profile built for the next stage of my career.

FOCUS
Real-time IoT telemetry ingestion for large connected-vehicle fleets
FOCUS
Snowflake data warehousing, Snowpipe pipelines and performance tuning
FOCUS
Secure device provisioning — X.509 certs, bulk registration, fleet onboarding
GOAL
Moving toward containerized, IaC-driven cloud infrastructure roles
02

Technical Stack

/cloudAWS & Infra

EC2VPCRDS S3CloudWatchIAM TerraformECREKS

/iotIoT & Edge

AWS IoT CoreMQTT X.509Timestream Fleet Provisioning4G/LTE

/dataData & Warehousing

SnowflakeSnowpipe PostgreSQLInfluxDB SQL

/langLanguages

PythonSQLBash

/opsReliability & Ops

CloudWatch AlarmsCI/CD DockerIAM Policy Design

/nextCurrently Learning

AWS SA AssociateEKSSpark / EMR
03

Projects

EV Bike Fleet — IoT Telemetry Platform

PRODUCTION

Production-grade ingestion platform for a large electric-bike fleet. Sensor data streams over MQTT via 4G/LTE into AWS IoT Core, then fans out to time-series, archival and operational stores — with X.509 certificates provisioned directly into bike firmware for secure device identity at scale.

Bike Sensor→MQTT / 4G→IoT Core→InfluxDB→S3→PostgreSQL
AWS IoT CoreMQTTX.509 InfluxDBS3PostgreSQL

Fleet Rental Analytics — Snowflake Pipeline

PRODUCTION

End-to-end analytics pipeline for rental transaction data across the fleet. A Python data generator simulates realistic rental activity at scale; transactions land in S3 and are ingested continuously into Snowflake via Snowpipe for downstream reporting and business analytics.

Python Generator→S3→Snowpipe→Snowflake→Analytics
SnowflakeSnowpipePythonS3

Device Provisioning at Scale

DEPLOYED

Evaluated and documented bulk device onboarding strategies for fleet-wide rollout, comparing AWS IoT bulk registration, Fleet Provisioning and custom CA approaches — with deployment runbooks covering both dev and production environments.

Custom CA→Bulk Registration→Fleet Provisioning→Production Rollout
AWS IoT CoreSecurityDocumentation
04

Experience

2022 — Present

Cloud Data Engineer

AllOps Technologies Pvt Ltd · Pune, India
  • Own the AWS IoT telemetry pipeline for an EV bike fleet, from device provisioning through to analytics-ready data
  • Administer Snowflake environments — schema design, Snowpipe ingestion, warehouse performance and cost tuning
  • Built and documented device provisioning strategy across dev and production for fleet-wide rollout
  • Designed data flows across InfluxDB, PostgreSQL, S3 and Snowflake to serve both real-time and historical reporting needs

Let's build something reliable.

Open to Cloud Engineer and AWS DevOps roles — especially where IoT and analytics meet.

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