adwait kharkar
@adwaitkharkar
Azure Data Engineer specializing in cloud-native ETL, Databricks, and automated CI/CD data platforms.
IndiaWhat I'm looking for
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
Azure Data Engineer
IFS India Mercantile Pvt. Ltd.
Aug 2023 - Present (2 years 10 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%.
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.
Education
Degrees, certifications, and relevant coursework
MIT Academy of Engineering
Bachelor of Technology, Computer Science
2019 - 2023
Completed a B.Tech in Computer Science focusing on core computer science subjects from 2019 to 2023.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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