Gaurav Zopate Azure Data Engineer
Azure Data Engineer | Azure Data Factory | Databricks | ADLS Gen2 | PySpark | SQL | Python | ETL Pipelines | Financial Data Platforms | Immediate Joiner
- Role
- Associate Consultant at KPMG India
- Location
- Pune City, MH, IN
- LinkedIn followers
- 500 followers
About Gaurav Zopate Azure Data Engineer
Azure Data Engineer with experience in building scalable data pipelines and centralized data platforms on Microsoft Azure.I have worked on designing and developing end-to-end data engineering solutions using Azure services such as Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL.In my projects, I worked in the banking and financial domain where we built a centralized data platform to ingest, process, and transform large volumes of data coming from multiple source systems like core banking, transaction systems, and customer platforms.My responsibilities include: • Building scalable ETL/ELT pipelines using Azure Data Factory• Processing large datasets using Azure Databricks and PySpark• Designing data storage using Azure Data Lake and Azure SQL• Implementing data transformations and data quality checks• Optimizing data pipelines for performance and scalabilityTechnical Skills: Azure Data Factory | Azure Databricks | Azure Data Lake | Azure SQL | SQL | Python | ETL | Data Warehousing | Data PipelinesI am passionate about building reliable data platforms and continuously learning modern data engineering technologies.
Experience
Associate Consultant
Jul 2025 — Present · Pune, IN
Working as an Azure Data Engineer in the banking domain, responsible for building and maintaining a centralized cloud data platform on Microsoft Azure.• Developed scalable data ingestion pipelines using Azure Data Factory to integrate data from multiple banking source systems• Processed large-scale financial and transaction data using Azure Databricks and PySpark• Designed and implemented data storage solutions using Azure Data Lake Storage Gen2• Performed data transformation and business rule implementation for analytics and reporting• Built optimized ETL/ELT pipelines for handling large volumes of structured and semi-structured data• Ensured data quality, validation, and performance optimization across data pipelines• Collaborated with data analysts and business teams to deliver reliable datasets for reporting and analytics
Education
Government Polytechnic Yavatmal
Engineer’s Diploma
2014 — 2017
Sant Gadge Baba Amravati University, Amravati
Bachelor of Engineering - BE
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