Open to opportunities

adwait kharkar

@adwaitkharkar

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Azure Data Engineer specializing in cloud-native ETL, Databricks, and automated CI/CD data platforms.

India

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What I'm looking for

I am seeking a mid-level data engineering role focused on building cloud-native ETL pipelines and automated CI/CD data platforms in an Agile, collaborative environment that values security and scalability.

I am an Azure Data Engineer with 2.8+ years designing and deploying cloud-native data solutions on Microsoft Azure. I build scalable ETL pipelines using Azure Data Factory, Synapse, and Databricks (PySpark) to ingest and transform structured and semi-structured data.

At my current role I designed and deployed 20+ ADF pipelines for API ingestion, on-prem SQL Server migration, and SFTP file loads into ADLS Gen2, and implemented PySpark transformations that reduced processing time by 30%.

I deliver curated datasets to Power BI dashboards and implemented Azure DevOps CI/CD pipelines, monitoring, and security best practices—using Azure Monitor, Log Analytics, Key Vault and RBAC for compliance.

I collaborate in Agile teams, contribute to documentation and testing, and continually expand my skills in cloud, DevOps, and data engineering to deliver cost-effective, compliant data platforms.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

IFS India Mercantile Pvt. Ltd.

Aug 2023 - Present (2 years 2 months)

Designed and deployed 20+ Azure Data Factory pipelines and Databricks PySpark transformations, reducing processing time by 30% and delivering curated datasets that improved course completion rates by 12%.

Azure Data Factory Databricks Pyspark Azure DevOps Delta Lake Azure Key Vault azure monitor

Data Engineering Intern

Hitachi Vantara

Feb 2023 - Aug 2023 (6 months)

Developed ADF pipelines to ingest and transform CSV datasets into Azure SQL for reporting and supported testing, documentation, and Agile delivery practices.