From Big Data Hadoop & Spark to Multi-Cloud (AWS, Azure, GCP), Databricks Lakehouse, Delta Lake, Snowflake, Kafka Streaming, dbt & Airflow.
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15+ years of active industry experience architecting large-scale data systems. Currently working as a Lead Data Architect.
Principal Data Architect & Head Faculty at Palin Analytics
With over 15+ years of real-world experience leading petabyte-scale data engineering projects in Fortune 500 tech firms, Raj brings deep practical insight into every class. He currently works as a Lead Data Architect, designing modern Lakehouse platforms, PySpark streaming architectures, and multi-cloud infrastructure.
Click any stage below to inspect production technologies, throughput benchmarks, and real pipeline execution code.
Captures high-frequency data streams (clickstreams, transactions, CDC logs) and batch files reliably with zero data loss.
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Focused on Big Data Hadoop, PySpark, DWH, Multi-Cloud (AWS/Azure/GCP), Databricks Lakehouse, Snowflake, Kafka, Airflow, and dbt.
Download full architectural blueprints, lab setups, and system design interview questions. Batches: 22 Aug, 26 Sep, 31 Oct.
Deploy live multi-cloud architectures with GitHub repositories, automated tests, and system design documentation.
Based on verified Palin Analytics alumni placements in Gurgaon, DLF Cyber City, Noida, and Remote roles. Total fee: ₹82,600.
Working professionals who transitioned into high-growth Data Engineering roles in Gurgaon MNCs.
Located at M17, Sector 14 OLD DLF, Gurgaon 122001. High-performance offline workstations, 1-on-1 whiteboard system design sessions with senior faculty, and direct recruitment drives.
High-speed cloud sandbox workstations, dual-monitor setup for coding PySpark & Databricks, and dedicated discussion pods.
Direct face-to-face doubt resolution and whiteboard system design mock interviews with Senior Lead Data Architects.
Direct interview connections with top hiring partners across DLF Cyber City, Golf Course Road, Cyber Park, Noida & Remote.
Join our next batch starting 22 Aug, 26 Sep, or 31 Oct at M17, Sector 14 OLD DLF, Gurgaon or attend live online. Total Amount: ₹82,600 (No-Cost EMI: ₹8,260/mo via Bajaj Finserv).