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Harsh wardhan SharmaHS
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Harsh wardhan Sharma

@harshwardhansharma

I build Azure data pipelines and analytics platforms that improve data reliability, performance, and decision-making.

India
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What I'm looking for

I'm looking to build scalable Azure data platforms, modern ETL/ELT pipelines, and AI-powered data solutions while growing in cloud engineering, data governance, and Generative AI.

At Tech Mahindra, I build end-to-end Azure ETL/ELT pipelines that ingest SQL Server, REST API, and flat-file data into Azure Data Lake Storage Gen2.

I've developed large-scale Azure Databricks transformations with PySpark and Spark SQL, using Bronze-Silver-Gold architecture and Delta Lake to deliver clean, analytics-ready data. My incremental loading and merge-upsert work reduced pipeline runtime by 30%, while migrating SSIS workloads to Azure improved scalability and reduced infrastructure costs by 25%.

For an enterprise sales and inventory analytics platform, I combined Azure Data Factory, Databricks, ADLS Gen2, Delta Lake, Synapse, and Power BI into a cloud-native source of truth. Watermarking and incremental processing reduced daily execution time from approximately two hours to under 45 minutes.

I'm also exploring Azure OpenAI Service and RAG-based prototypes for natural-language access to enterprise data, alongside CI/CD, governance, monitoring, and secure data-platform delivery.

Experience

Work history, roles, and key accomplishments

Tech Mahindra logoTM
Current

Azure Data Engineer

Nov 2023 - Present (2 years 9 months)

Designed and developed end-to-end ETL/ELT pipelines using Azure Data Factory and Databricks, implementing Medallion architecture and Delta Lake for reliable data processing. Migrated legacy SSIS workloads to Azure, reducing costs by 25%, and automated deployments with Azure DevOps CI/CD.

Education

Degrees, certifications, and relevant coursework

Rajiv Gandhi Proudyogiki Vishwavidyalaya logoRV

Rajiv Gandhi Proudyogiki Vishwavidyalaya

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 8.31/10

Bachelor of Engineering in Computer Science from Rajiv Gandhi Proudyogiki Vishwavidyalaya, with a CGPA of 8.31/10.

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