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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

Varanasi

3+ years of work experience

MAQ Software
Oct 202511 mosPresent

• 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
MAQ Software
Aug 20232 yrs 2 mosSep 2025

• 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
MAQ Software
Feb 20236 mosJul 2023

• 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.

Bhuwesh’s AI Stack

antigravity
antigravity
codex
codex
cursor
cursor

Education

National Institute of Technology , Patna

Master of Computer Applications - MCA, Computer Science

National Institute of Technology , Patna

20212 yrs2023

Bachelor of Computer Application, Computer Science

Mahatma Gandhi Kashi Vidyapeeth

20163 yrs2019

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Headline

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

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