@ruddhani

Aniruddha Banerjee

@ruddhaniKolkata, IndiaJoined July 2026

Learn AI, Data Engineering, Cloud Architecture, Microsoft Fabric, Databricks, Azure, AWS, Power BI & Automation through practical tutorials,

About

Hi, I'm Aniruddha 👋 I'm an Associate Consultant with 18+ years of experience building enterprise data and analytics solutions. I started this blog to share practical knowledge, explain complex technical concepts, and document lessons learned while working with modern data platforms. Here you'll find articles on: Microsoft Fabric Power BI Databricks Azure & AWS Apache Airflow AWS Glue Data Engineering Cloud Architecture AI & Analytics Solution Design Most articles are inspired by real-world engineering challenges, research, and hands-on experience. My goal is simple: write content that is technically accurate, practical, and easy to understand. If even one article helps you solve a problem or learn something new, then this blog has served its purpose.

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Aniruddha Banerjee's blogs

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About

Hi, I'm Aniruddha 👋 I'm an Associate Consultant with 18+ years of experience building enterprise data and analytics solutions. I started this blog to share practical knowledge, explain complex technical concepts, and document lessons learned while working with modern data platforms. Here you'll find articles on: Microsoft Fabric Power BI Databricks Azure & AWS Apache Airflow AWS Glue Data Engineering Cloud Architecture AI & Analytics Solution Design Most articles are inspired by real-world engineering challenges, research, and hands-on experience. My goal is simple: write content that is technically accurate, practical, and easy to understand. If even one article helps you solve a problem or learn something new, then this blog has served its purpose.

Available for

Nothing here yet.

Aniruddha Banerjee's blogs

Aniruddha Writesruddhani.hashnode.dev1 post

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Recently published

ABAniruddha Banerjeeruddhani.hashnode.dev2d ago · 7 min read

When Data Becomes the Bottleneck: Unmasking the Real Culprit Behind SLT Misses

We kept blaming the data. Turns out, the data was innocent. 🔍 For weeks, our SLTs were being missed. Query timeouts. Stale dashboards. Frustrated users. Every indicator pointed at the data layer —