Rupesh Kumar

Years of Experience in Big Data Training

11

Years of Experience in Azure Databricks Courses

8

Teaching Experience in detail in Azure Databricks Courses

I have over 8 years of hands-on teaching and mentoring experience focused on Azure Databricks, specifically curated for working professionals, freshers, and data enthusiasts aiming to master cloud-based big data processing and advanced analytics. My training is designed to bridge the gap between theoretical concepts and real-world project experience using Azure Databricks. As a Staff Data Engineer at Altimetrik with 10+ years of industry experience, I bring practical knowledge from enterprise-grade projects directly into my classrooms, ensuring learners gain skills that are immediately applicable in job environments.

Years of Experience in Python Training classes

10

Teaching Experience in detail in Python Training classes

With over 10 years of teaching and mentoring experience in Python and PySpark, I’ve successfully trained professionals, freshers, and aspiring data engineers through online, offline, and 1:1 personalized sessions. My training is deeply rooted in real-world data engineering scenarios, derived from my 10+ years of industry experience as a Staff Data Engineer at Altimetrik. I specialize in teaching Python for Big Data, followed by advanced PySpark programming, ensuring that learners can handle large datasets, build scalable data pipelines, and prepare for real-time data engineering jobs.

Years of Experience in Apache Kafka

8

Teaching Experience in detail in Apache Kafka

With over 8 years of dedicated teaching experience in Apache Kafka, I’ve trained working professionals, engineering graduates, and aspiring data engineers to confidently implement real-time data streaming pipelines and messaging systems using Kafka. My sessions are grounded in real industry use cases, derived from my 10+ years of hands-on experience as a Staff Data Engineer at Altimetrik, where Kafka has been a central component in enterprise-scale data platforms. My teaching emphasizes conceptual clarity, hands-on learning, and end-to-end pipeline design, ensuring learners are well-prepared for production scenarios and interviews.

Years of Experience in Data Warehouse Training

10

Teaching Experience in detail in Data Warehouse Training

With over 10 years of hands-on teaching experience in Data Warehousing (DWH), I specialize in training students, working professionals, and career switchers on how to design, build, and manage robust and scalable data warehouse systems. My teaching is grounded in real-world business intelligence and analytics needs, drawing from my 10+ years of experience as a Staff Data Engineer at Altimetrik, working on enterprise-level DWH platforms across cloud and on-prem environments. My sessions focus on delivering practical, project-based learning covering foundational DWH concepts to advanced implementation strategies used in modern cloud architectures.

Years of Experience in SQL Programming Training

10

Teaching Experience in detail in SQL Programming Training

With over 10 years of dedicated teaching experience in SQL programming, I’ve trained more than 300+ learners — including working professionals, college students, analysts, and aspiring data engineers — through online live sessions, offline classes, and 1:1 personalized coaching. Backed by 10+ years of hands-on experience as a Staff Data Engineer at Altimetrik, I bring real-world business use cases, query optimization techniques, and practical problem-solving into the classroom to ensure students don’t just learn SQL — they master it.

Years of Experience in Kubernetes

8

Teaching Experience in detail in Kubernetes

With over 5 years of teaching and mentoring experience in Kubernetes, I’ve successfully trained a wide range of learners — from DevOps professionals and cloud engineers to data engineers and software developers — through live online sessions, hands-on workshops, and 1:1 coaching. As a Staff Data Engineer at Altimetrik with 10+ years of experience, I have implemented and managed container orchestration strategies for big data and real-time data pipelines using Kubernetes. My teaching is highly practical, aligned with industry-standard DevOps and Data Engineering workflows, and designed to bridge the skill gap between code and cloud-native production environments.