Azure Data Engineer | Azure Data Factory | Databricks (PySpark) | ADLS Gen2 | Synapse | Delta Lake | ETL / ELT | CI/CD | Terraform

Noida, Uttar Pradesh, India

Noida, Uttar Pradesh, India



Master of Business Administration - MBA
Jamia Millia Islamia

B.tech, Computer Science
Cooch Behar Government Engineering College
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Download Tal BossAzure Data Engineer | Azure Data Factory | Databricks (PySpark) | ADLS Gen2 | Synapse | Delta Lake | ETL / ELT | CI/CD | Terraform
Azure Data Engineer with 3 years of hands-on experience designing, building, and optimizing scalable data engineering solutions on Microsoft Azure. I specialize in building end-to-end ETL and ELT pipelines using Azure Data Factory, Azure Databricks (PySpark), Azure Data Lake Storage Gen2, and Azure Synapse Analytics. I have worked on high-volume data platforms (5+ TB monthly ingestion) and implemented Delta Lake architectures for reliable and high-performance analytics. Core expertise: • Azure Data Factory – pipeline orchestration, triggers, monitoring • Azure Databricks – PySpark, performance optimization, Delta Lake • Azure Data Lake Storage Gen2 – scalable data storage • Azure Synapse Analytics – analytics and reporting • Streaming – Azure Event Hub, Azure Stream Analytics • CI/CD – Azure DevOps, GitHub Actions • Infrastructure as Code – Terraform, Bicep I enjoy working on data platforms that are production-ready, cost-optimized, and scalable. Open to Azure Data Engineer opportunities where I can solve real-world data problems and grow further in cloud data engineering.
Greater Delhi Area
Software Engineer at HCLTech, Oct 2024 - Present · 1 yr 7 mos, Noida, Uttar Pradesh, India, • Designed and delivered enterprise-grade ETL and ELT pipelines using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Azure Synapse Analytics for datasets exceeding 5 TB per month. • Implemented Delta Lake bronze, silver, and gold architecture, improving query performance by approximately 40 percent. • Developed optimized PySpark transformations for large-scale distributed workloads and improved cluster cost efficiency. • Integrated Azure Event Hub and Azure Stream Analytics for near real-time ingestion of transactional events. • Implemented data quality validation using Great Expectations and custom Python-based frameworks. • Built CI/CD pipelines using Azure DevOps for Azure Data Factory, Databricks notebooks, and infrastructure as code deployments. • Developed reusable Terraform modules for provisioning Azure resources across multiple environments.
Graduate Engineering Trainee at HCLTech, Sep 2022 - Dec 2024 · 2 yrs 4 mos, Noida, Uttar Pradesh, India, • Designed and delivered enterprise-grade ETL and ELT pipelines using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Azure Synapse Analytics for datasets exceeding 5 TB per month. • Implemented Delta Lake bronze, silver, and gold architecture, improving query performance by approximately 40 percent. • Developed optimized PySpark transformations for large-scale distributed workloads and improved cluster cost efficiency. • Integrated Azure Event Hub and Azure Stream Analytics for near real-time ingestion of transactional events. • Implemented data quality validation using Great Expectations and custom Python-based frameworks. • Built CI/CD pipelines using Azure DevOps for Azure Data Factory, Databricks notebooks, and infrastructure as code deployments. • Developed reusable Terraform modules for provisioning Azure resources across multiple environments.
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Master of Business Administration - MBA, Jamia Millia Islamia
B.tech, Computer Science, Cooch Behar Government Engineering College