J Garg — AI Researcher

✅Check my profile - https://www.udemy.com/user/hadoop-real-time-learning/ ✅Professional Summary: Bringing over 12+ years extensive experience in IT, I specialize in cutting-edge cloud technologies (Google Cloud, AWS, Azure, Databricks) alongside an immense skill set in other Big Data Engineering technologies like Apache Spark, Apache Flink, Hadoop, and more. As a Certified Azure and Google Cloud Professional Data Engineer, I thrive in architecting robust data solutions, implementing intricate ETL workflows, and building scalable data pipelines. ✅Training & Instructional Experience: As a seasoned Cloud and Big Data trainer, I've empowered countless professionals through tailored courses, sharing my expertise in Udemy courses with over 100,000+ students with average 4.5 instructor rating. All of my courses are made keeping in mind the Real-time implementation of Big data, Machine Learning, and Google Cloud Platform in Live Projects. Training below courses on Udemy with over 100,000 total students: MLOps Fundamentals: CI/CD/CT Pipelines of ML with Azure Demo MLflow in Action - Master the art of MLOps using MLflow tool BigQuery ML - Machine Learning in Google Cloud with BigQuery BigQuery for Big data engineers - Master Big Query Internals Apache Beam | A Hands-On course to build Big data Pipelines Apache Flink | A Real Time & Hands-On course on Flink Hadoop MAPREDUCE in Depth | A Real-Time course on Mapreduce Hive to ADVANCE Hive (Real time usage): Hadoop querying tool LLM Fine Tuning Fundamentals + Fine tune OpenAI GPT model Google Cloud DevOps - Learn to create CI/CD pipelines in GCP ✅Open for new Opportunities: Open to contribute as a Part-time/ Freelance consultant, Project development, Job support, Trainer on Google Cloud, Azure Cloud, Databricks and other Data engineering/ Big Data related tool stack.

Stackforce AI infers this person is a Cloud and Big Data Engineering expert with extensive training experience.

Experience: 10 yrs 11 mos