Hi, I'm Dhruvi Mehta

Building scalable cloud infrastructure and data-heavy platforms for FinOps and SaaS

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About Me

Dhruvi Mehta - Tech Professional

Infrastructure Lead & Platform Engineer

I'm an Infrastructure Lead at FinOpsly AI, building and scaling cloud infrastructure for a FinOps SaaS platform. My expertise spans AWS (EKS, VPC, RDS, CloudFront, WAF), Snowflake, Kubernetes, Terraform, and CI/CD—with a focus on cost optimization, data-heavy architectures, and zero-downtime deployments.

With a B.Tech in Computer Science and hands-on experience across DevOps, ML pipelines, and analytics, I specialize in designing scalable infrastructure, real-time data pipelines, and observability stacks that keep production reliable and secure.

5+
Years Experience
10+
Projects Completed
15+
Technologies
AWS
Kubernetes
Docker
Terraform
Python
Go

Work Experience

Sept 2025 – Present

Infrastructure Lead / Platform Engineer

FinOpsly AI Pvt. Ltd. (Hybrid)
  • Built and scaled cloud infrastructure for a FinOps SaaS platform analyzing cloud spend, anomalies, and realized savings
  • Designed data-heavy architecture with Snowflake as the primary warehouse and high-throughput ingestion pipelines
  • Owned AWS infrastructure, CI/CD pipelines, security posture, and production reliability
  • Implemented cost optimization guardrails aligned with FinOps best practices
  • Worked closely with product and backend teams to enable zero-downtime deployments
Jan 2024 – Sept 2025

DevOps Manager

IntelXLabs (Remote)
  • Led DevOps team designing scalable, cost-efficient AWS infrastructure for client and internal platforms
  • Architected EKS-based microservices platforms with ALB, ACM, and multi-AZ HA/DR design
  • Implemented GitHub Actions and Helm-based CI/CD, improving deployment reliability and velocity
  • Built real-time data pipelines using Kafka and NATS with analytics on ClickHouse and Redshift
  • Established observability and security using ELK, Grafana, New Relic, WAF, and private VPC networking
Aug 2021 – Jul 2024

DevOps Engineer

Cilans Systems Pvt. Ltd. — Ahmedabad, India
  • Owned cloud infrastructure, CI/CD pipelines, and automation for multi-domain projects
  • Designed and deployed internal platforms spanning DevOps, ML, databases, and analytics
  • Built POCs and production systems across AWS, Docker, and Kubernetes
Dec 2020 – Jul 2021

Junior Web Developer

MultiQoS Technologies — Ahmedabad, India
  • Developed backend features using PHP and Laravel

Skills & Technologies

Cloud Platforms

AWS
GCP
Azure
Linode
DigitalOcean

DevOps Tools

Docker
Kubernetes
Terraform
GitHub Actions
Jenkins

Databases

PostgreSQL
MySQL
MongoDB
ClickHouse
Snowflake
Snowflake Kafka NATS Istio ELK Stack Grafana New Relic Python Go Shell PHP CI/CD Microservices AWS EKS AWS DMS Redshift CloudFormation Jenkins Helm Redis InfluxDB ElasticSearch

Client Projects

HaaNaa Project

HaaNaa

AWS EKS Istio Kafka Aurora Redis

Fantasy gaming platform for 20M+ users. I built AWS EKS infrastructure with Istio, Kafka/NATS, Aurora PostgreSQL, Redis, and full observability.

AstraLink Project

AstraLink

IoT MQTT DevOps

Smart home IoT platform for lights, climate, and security. I designed DevOps architecture with MQTT, device gateways, and event processing.

FDS Project

FDS (Fusion Data Secure)

Data Privacy Security DevOps

Tool to protect sensitive data from unauthorized access. I owned DevOps for all tiers and set up VMUA.

TruckBoss Project

TruckBoss

Fleet Management Microservices DevOps

Timecard and fleet solution for truck hours, loads, and cost vs budget. I managed DevOps infrastructure and microservices.

Dashy Dash Project

Dashy Dash

AWS Terraform CI/CD Testing

Restaurant tool for invoices, product discovery, and price comparison. I managed AWS with Terraform and CI/CD (GitHub Actions).

Notary.io Project

Notary.io

Kubernetes SaaS E-signing

E-signing and notarization SaaS for legal, fintech, and healthcare. I built and scaled Kubernetes microservices.

JD-CV Parser Project

JD–CV Parser

ML Django Vector DB

CV parsing and job-description matching with ML. I architected the pipeline using Django and vector databases.

Suddath Project

Suddath

Azure CI/CD Shell Scripting

Moving and relocation company (residential, commercial, employee relocation). I automated deployments and CI/CD on Azure, migrated on-prem to cloud, and automated tasks with Shell scripting.

Knitsmart Project

Knitsmart

AWS Docker InfluxDB Grafana NodeRed MQTT

Fabric anomaly detection during manufacturing to reduce wastage. I managed the data pipeline (MQTT → InfluxDB) and real-time monitoring in Grafana.

Education

Aug 2018 – June 2021

B.Tech in Computer Science

GEC Patan

CGPA: 8.5/10

Aug 2015 – June 2018

Diploma in Computer Science Engineering

GTU, Rajkot

CGPA: 8.5/10

Certifications & Achievements

AWS Certified Solutions Architect - Associate

Amazon Web Services

View Certificate

HashiCorp Certified Terraform Associate

HashiCorp

View Certificate

Tech Wisdom & Humor

There are only two hard things in Computer Science: cache invalidation and naming things.

Phil Karlton

Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.

Brian Kernighan

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