Meghana N
Data Engineer @Wipro
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WORK HISTORY
Data Engineer @Wipro
Bengaluru, IN
Designed and implemented a scalable end-to-end ETL/ELT data pipeline using Azure Data Factory (ADF) and Azure Databricks to ingest data from multiple sources including APIs, relational databases, and flat files into Azure Data Lake Storage (ADLS).Developed and maintained PySpark transformation notebooks to perform data cleansing, standardization, and enrichment by following the Medallion Architecture (Bronze–Silver–Gold layers) using Delta Lake.Implemented robust data validation checks, schema enforcement, and logging mechanisms to ensure data quality, accuracy, and reliability across pipelines.Optimized pipeline performance through data partitioning, Delta Lake OPTIMIZE, and Z-Ordering, resulting in improved query performance and reduced processing time.Enabled business reporting and analytics by integrating curated datasets with Power BI and Azure SQL, supporting downstream analytics and decision-making.
EDUCATION
Pes Institute of technology and management Shimoga
Bachelor's degree
Visvesvaraya Technological University
Bachelor of Engineering - BE
ABOUT MEGHANA N
Dedicated and detail-oriented Data Engineer with 2 years of hands-on experience in building and maintaining scalable data pipelines and cloud-based data solutions on Microsoft Azure. Strong expertise in Azure Data Factory, Azure Databricks, Azure Data Lake, PySpark, and SQL for data ingestion, transformation, and large-scale data processing. Experienced in designing ETL/ELT workflows, optimizing performance, and ensuring data reliability and quality. Adept at translating raw data into actionable insights and solving real-world business problems through structured and efficient data engineering practices. Actively seeking opportunities to contribute to impactful data initiatives and grow as a cloud data engineering professional.
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