Dhruv Darji

About Dhruv Darji

I architect and automate scalable cloud solutions that transform real-time data into actionable insights. With 1.5+ years of hands-on expertise in AWS, Azure, and hybrid environments, I excel at:• Building secure, scalable infrastructure using Terraform (IaC), CI/CD pipelines (GitHub Actions), and serverless frameworks (AWS Lambda, Chalice).• Engineering high-performance data systems, including Kafka clusters (10K+ msgs/sec) and low-latency dashboards (WebSocket, React.js, Python).• Developing predictive analytics platforms that integrate IoT sensor data, ML models, and PostgreSQL, like a cloud-native predictive maintenance solution I deployed for heavy equipment:• -(+).•,(3,).•.I thrive at the intersection of cloud, data engineering, and full-stack development, turning complex challenges into business value. Passionate about security-first design (Azure AD, SSO) and open-source automation (Python, React.js).Let’s connect if you’re innovating in cloud systems, DevOps, or real-time data platforms!

Experience

1. Software Engineer

   CEREBULB

   Feb 2024 — Present · GIFT City, IN

   Developed a real-time monitoring dashboard using Apache Kafka, Python (WebSocket + REST), and React.js to visualize MPC (Model Predictive Control), actual, and predicted values, enabling live process optimization.• Enabled sub-second data updates (from batch processing) via Kafka-powered WebSocket streaming and deployed the solution on on-premises servers for seamless legacy system integration.() – • Built a cloud-based predictive maintenance system (AWS Lambda, RDS, S3, CloudFront) for heavy mobile equipment, integrating sensor data with ML models using Python Chalice and React.• Automated AWS infrastructure (Terraform) including S3, RDS PostgreSQL, and WAF, and migrated historical data from OSI PI to PostgreSQL using Flyway for schema consistency. • Designed a real-time analytics platform using Apache Kafka, Python (Pandas/NumPy), and React.js to process high-frequency sensor data, with interactive dashboards for proactive equipment maintenance- • Established secure, low-latency Kafka clusters in isolated enterprise networks, optimizing configurations for 10K+ messages/sec throughput and fault tolerance. Automated Linux VM provisioning for scalable data pipeline management. & / • Reduced deployment time by 40% by implementing GitHub Actions CI/CD pipelines for Dev/UAT/Prod environments. Enforced IaC (Terraform) to automate AWS resource provisioning (S3, CloudFront, IAM).

Education

• LDRP Institute of Technology & Research, Gujarat Technological University

  Bachelor of Engineering - BE

  2020 — 2024