Ronak Jain

I am an experienced AI Cloud Data Engineer with a strong background in building and optimizing scalable AI/ML pipelines and ETL workflows. My expertise lies in utilizing technologies such as PySpark, Kafka, and cloud-native services like Databricks and Snowflake. I have successfully automated CI/CD pipelines using Terraform and GitHub Actions, significantly reducing deployment times by 20% while ensuring robust infrastructure for machine learning workloads across multiple cloud platforms.

Throughout my career, I have demonstrated a commitment to enhancing observability and security in multi-cloud environments. I migrated security logging from Elasticsearch to OpenSearch, which centralized monitoring and supported real-time threat detection. My experience also includes developing Grafana dashboards integrated with Prometheus for proactive monitoring and incident response, showcasing my ability to blend technical skills with operational excellence.

As I continue to explore the evolving landscape of AI and MLOps, I am particularly focused on building GenAI-ready pipelines and applying best practices for model tracking and orchestration. I thrive in collaborative environments where I can contribute to innovative projects that drive efficiency and effectiveness in data engineering.