Shaik Sabeena bee

Designed and implemented end-to-end data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) and Azure Databricks to process large-scale structured and semi-structured data. Developed parameterized and dynamic ADF pipelines using datasets, linked services, variable expressions, and lookup activities. Built scalable ETL/ELT workflows for ingestion, transformation, and loading of data into Azure Synapse Analytics. Worked with Delta Lake and PySpark to clean, transform, optimize, and merge datasets. Implemented incremental data loads, logging, and monitoring using ADF alerts and Azure Monitor. Developed SQL stored procedures, views, and performance-tuned queries.

Providing business solutions to various IMS clients by analyzing large-scale input files and loading data using various Azure transformation technologies into Azure SQL Databases. Creating ETL pipelines using Azure Data Factory to load various data into ADLS. Performing ELT – Initial and Incremental loads, issue analysis, and debugging. Hands-on experience in creating Pipelines, Linked Services, Datasets, and Data Factories for transferring data from Blob to SQL Server and vice versa.