Pooja Dusane

About Pooja Dusane

I am an Azure Data Engineer with 1.5+ years of experience in designing and implementing scalable, secure, and high-performance data solutions on the Azure cloud platform. I specialize in building end-to-end data pipelines and transforming raw data into structured, analytics-ready datasets that support data-driven decision making.At Zielotech Software Pvt. Ltd, I have contributed to developing modern data lakehouse architectures. In a recent healthcare domain project, I was involved in building an end-to-end ingestion and transformation framework using Azure Data Factory and Azure Databricks. By implementing the Medallion architecture on ADLS Gen2, the solution improved data quality, streamlined processing, and enabled secure, analytics-ready datasets for reporting and business insights.I have experience designing ETL and ELT pipelines, processing large-scale datasets using PySpark, and optimizing SQL queries across structured and semi-structured data environments. I am familiar with OLTP and OLAP systems and understand how to design workflows that support both operational and analytical use cases. I also have knowledge of CI/CD practices using Azure DevOps for version control and deployment automation.My work primarily involves Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Microsoft Fabric, SQL, Python, PySpark, Power BI, along with exposure to Big Data technologies in cloud environments.I am passionate about building reliable and scalable data systems that create measurable business impact while continuously strengthening my expertise in modern cloud data platforms.I am open to connecting with professionals and exploring opportunities in Azure Data Engineering and modern cloud data platforms.

Experience

1. Data Engineer

   Zielotech Software Pvt. Ltd

   Feb 2025 — Present · Pune, IN

   Designed and developed ETL/ELT pipelines using Azure Data Factory for automated data ingestion from APIs and database sources.Built data transformation workflows using Azure Databricks and PySpark to clean, enrich, and structure raw datasets.Implemented Medallion architecture (Bronze, Silver, Gold layers) using ADLS Gen2 to organize and optimize data for analytical consumption.Integrated structured and semi-structured data into Azure cloud storage and ensured proper schema alignment.Performed SQL-based data validation, transformation, and query optimization to improve data quality and performance.Collaborated with analytics and reporting teams to deliver reliable, analytics-ready datasets.Maintained data consistency, validation checks, and performance optimization across Azure data pipelines.

Education

• Kulbhushan college

  HSC, Science

• New English High School

  Ssc

• Deogiri Institute of Engineering and Management Studies, Aurangabad

  B-TECH CSE(Artificial Intelligence and Machine Learning )