Alpesha Kumbhar

Azure Data Engineer

Talent

MumbaiMember since August 17, 2026

Azure Synapse AnalyticsAzure DatabricksAzure SQL DatabaseAzure Key VaultAzure Logic AppsPySparkSpark SQLSQLETL/ELT PipelinesIncremental LoadingAzure DevOpsCI/CDData Engineer

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Azure Synapse AnalyticsAzure DatabricksAzure SQL DatabaseAzure Key VaultAzure Logic Apps

About

Azure Data Engineer with 4+ years of experience designing, developing, and optimizing enterprise-scale data platforms on Microsoft Azure. Proficient in Azure Databricks, Azure Synapse Analytics, Azure Data Factory, PySpark, Spark SQL, Azure SQL Database, ADLS Gen2, Azure Logic Apps, and Azure Key Vault. Skilled in building high-volume ETL/ELT pipelines processing billion-record datasets, cloud migration, performance tuning, CI/CD automation, and data modelling.

Experienced in mentoring junior engineers, conducting code reviews, and collaborating with cross-functional teams to deliver scalable and reliable data solutions. Passionate about building scalable and efficient data solutions to drive business impact. Seeking a challenging role in Data Engineering to leverage expertise in cloud-based data processing and analytics.

Experience

Azure Data Engineer at Capgemini Technology and Services India Limited (2022-04 – Present)

Client: Microsoft. Delivered enterprise-scale data engineering solutions across three Microsoft products, supporting analytics and reporting requirements.

Designed, developed, and maintained scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, and ADLS Gen2.
Built and optimized high-performance data pipelines processing billions of records, ensuring reliable data ingestion and transformation.
Migrated on-premises data warehouse workloads to Azure while ensuring data integrity and minimal downtime.
Developed reusable and parameterized Azure Data Factory pipelines, Linked Services, Datasets, and Data Flows to improve maintainability and reduce development effort.
Implemented incremental loading strategies and optimized PySpark, Spark SQL, SQL queries, and Synapse workloads to improve ETL performance.
Integrated Azure Logic Apps and Azure Key Vault to automate workflows, production notifications, and secure credential management.
Designed relational and dimensional data models and implemented validation, exception handling, and monitoring to improve data quality and pipeline reliability.
Managed source control, CI/CD pipelines, and automated deployments using Azure DevOps.
Mentored junior engineers through code reviews and technical guidance, while collaborating with business analysts, architects, and stakeholders to deliver scalable data solutions.