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Madhuresh Anand

@madhureshanand

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Senior Data Engineer specializing in scalable Azure cloud analytics and trusted data pipelines.

India

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What I'm looking for

I’m looking for a role where I can modernize enterprise analytics on Azure, build reliable end-to-end data pipelines, optimize Power BI models, and strengthen data quality and governance—delivering measurable performance, scalability, and cost improvements.

I’m an experienced Data Engineer with 9+ years in distributed, scalable data solutions, focused on cloud data analytics and highly governed pipelines. I specialize in Azure data engineering—using Fabric, Databricks, Synapse, Lakehouse, and Data Factory—along with Power BI for analytics that teams can trust.

In my recent roles, I’ve led modernization efforts migrating legacy reporting to Microsoft Fabric (Lakehouse, OneLake, Fabric Data Factory, Power BI) and engineered end-to-end pipelines with Spark Notebooks to deliver curated datasets for finance and supply chain analytics. I also design and optimize Power BI semantic models with advanced DAX to translate complex requirements into high-performance dashboards, while driving cost optimization, performance, and data accuracy through strong quality, reconciliation, and monitoring frameworks.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Code1 Tech Systems

Apr 2025 - Present (1 year 2 months)

Led modernization of enterprise analytics by migrating legacy OBIEE reports to Microsoft Fabric, improving data performance, scalability, and reporting accuracy. Engineered end-to-end Fabric Data Factory and Spark pipelines with governance controls and built Power BI semantic models using advanced DAX to deliver standardized, high-performance dashboards.

Microsoft Fabric Databricks Azure Data Factory Spark Pyspark Power BI DAX Data Governance

Senior Consultant

Infogain India Private Limited

Oct 2022 - Apr 2025 (2 years 6 months)

Led end-to-end SDLC for a large-scale cloud migration using Agile practices, achieving 99.9% system uptime from requirements through production deployment. Migrated 500+ tables and 100+ stored procedures to Microsoft Fabric and optimized ADF/Databricks ETL/ELT pipelines to process 10+ TB with 25–30% better performance while implementing data quality and reconciliation monitoring.

Microsoft Fabric Azure Data Factory Databricks Pyspark ETL ELT Data Quality

IT Analyst

Tata Consultancy Services

Jul 2016 - Oct 2022 (6 years 3 months)

Contributed to enterprise data analytics by designing scalable migration strategies that ensured zero data loss and reduced migration downtime by 20% across heterogeneous sources. Built reusable, metadata-driven ingestion frameworks for migrations from Oracle/SQL Server/Mainframe to Hadoop using Sqoop and PySpark, automating releases via Azure DevOps CI/CD to reduce deployment errors by 15%.

Data Migration Hadoop Sqoop Pyspark Azure DevOps Data Ingestion