---
title: "Bhuwesh Rai - Data Engineer II in Varanasi | Tal"
description: "Meet Bhuwesh Rai, Data Engineer 2 | DP-750 & DP-700 Certified | Fabric | Databricks | Python | PySpark | SQL | DBT | Redshift | AWS, Azure | Airflow | ETL/ELT | ADF | CI/CD, Governance | AI Automation, LangChain, RAG | NIT Patna | 3.5 Yrs based in Varanasi. AI stack includes antigravity, codex, and..."
image: "https://tal.club/meet/bhuwesh-rai/share-image"
---

# Bhuwesh Rai on Tal

## Headline

Data Engineer 2 \| DP\-750 &amp; DP\-700 Certified \| Fabric \| Databricks \| Python \| PySpark \| SQL \| DBT \| Redshift \| AWS, Azure \| Airflow \| ETL/ELT \| ADF \| CI/CD, Governance \| AI Automation, LangChain, RAG \| NIT Patna \| 3\.5 Yrs

## About

I improved Power BI processing time by 91\.6%\. I automated away 60% of manual data configuration\. I migrated 10,000\+ lines of legacy PL/SQL to the cloud\. That's what 3\.5 years of enterprise data engineering at MAQ Software looks like in practice\. I specialise in the Microsoft Azure \+ Fabric ecosystem — building the data infrastructure that makes analytics teams faster, business reporting more reliable, and AI\-powered automation possible\. I'm one of a small number of engineers who hold both Microsoft Fabric certifications \(DP\-750 \+ DP\-700\) with real production experience behind them\. 📌 𝗥𝗘𝗖𝗘𝗡𝗧 𝗪𝗢𝗥𝗞: → Led Databricks\-to\-Microsoft Fabric migration — Lakehouse, Direct Lake, OneLake architecture in enterprise production environments → Built AI automation pipelines using LangChain \+ Azure OpenAI, reducing manual QA workload by 20% → Reduced downstream data failures through ADF pipeline validation and Medallion architecture \(Bronze/Silver/Gold\) → Processed data from 14\+ enterprise source systems into unified cloud lakehouse platforms → Delivered 30–40% query performance gains via DAX model and Tabular Editor optimisation → 3× Spot Award winner — recognised for exceptional delivery and code quality across projects 🛠️ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞: Microsoft Fabric · Databricks · Azure Data Factory \(ADF\) · Apache Airflow · Python · PySpark · SQL · T\-SQL · dbt · Amazon Redshift · Azure Synapse · ADLS Gen2 · Delta Lake · ETL/ELT · Data Migration · Data Governance · Power BI · DAX · Azure OpenAI · LangChain · Retrieval\-Augmented Generation \(RAG\) · Generative AI · AI Automation · Azure · AWS · Azure DevOps 🎓 𝗘𝗗𝗨𝗖𝗔𝗧𝗜𝗢𝗡: MCA · NIT Patna \(National Institute of Technology\) · 700\+ DSA problems solved

## Location

Varanasi

## AI stack

antigravity

codex

cursor

## Work experience

Data Engineer II at MAQ Software, Oct 2025 \- Present · 11 mos, • Led end\-to\-end migration from Azure Databricks to Microsoft Fabric, refactoring PySpark and SQL workloads to Lakehouse and Direct Lake architecture in production enterprise environments Fabric\-certified • Automated OneLake shortcut creation and validation — detecting missing and broken shortcuts across environments, reducing manual configuration effort by 60% real metric • Optimised data models and DAX measures using Tabular Editor, improving query performance by 30–40% for downstream BI consumers • Leveraged GitHub Copilot to accelerate PySpark and SQL development, reducing development time by 25% and improving code consistency across team deliverables • Tech stack: PySpark · Python · T\-SQL · Microsoft Fabric · Azure Data Factory · Azure Synapse Analytics · DAX · MDX · GitHub Copilot · Power BI

Data Engineer I at MAQ Software, Aug 2023 \- Sep 2025 · 2 yrs 2 mos, • Built and managed ETL pipelines on Azure extracting data from 14\+ diverse sources into Azure Data Lake Storage using T\-SQL, PySpark, and Tabular models • Migrated 10,000\+ lines of Oracle PL/SQL to Azure Databricks, reducing data processing time by 30% • Implemented Medallion architecture \(Bronze / Silver / Gold\) across client data platforms, ensuring data quality, consistency, and reusability for analytics consumers • Built robust PySpark and SQL metrics layers across multiple data sources within Azure Databricks for enterprise analytics teams • Developed stored procedures, DAX measures, and optimised semantic models using Tabular Editor for BI performance and reporting accuracy • Tech stack: Azure Databricks · Python · PySpark · Azure Synapse Analytics · ADLS · DAX · MDX · GitHub Copilot · Power BI

Associate Data Engineer at MAQ Software, Feb 2023 \- Jul 2023 · 6 mos, • Experienced in developing and deploying ETL workflows using SQL, PySpark, and Azure Data Factory to support enterprise\-scale data platforms\. • Actively contributed to Agile delivery through sprint planning, stand\-ups, and retrospectives\. • Worked closely with onshore teams and stakeholders to align on requirements and resolve technical challenges\. • Contributed to backend performance optimization using Python, SQL, and Azure technologies\.

## Education

Master of Computer Applications \- MCA, Computer Science, National Institute of Technology , Patna

Bachelor of Computer Application, Computer Science, Mahatma Gandhi Kashi Vidyapeeth

[View the original profile](https://tal.club/meet/bhuwesh-rai)

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