Neha Khetan Email & Phone Number

-Creation of Azure LakeHouse architecture,Delta lake.- Designed, developed, and implemented data pipelines on Microsoft Azure using services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.- Implemented data governance and security best practices to ensure compliance with regulatory requirements.- Collaborated with.

Washington, DC, US

• Volunteered at American Red Cross as a Power BI Developer.
• Learned new technologies: Data Visualization: Power BI and Azure Data Factory.
• Developed multiple dashboards with data integration in Azure Data Factory and reports and dashboards in Power BI.
• Created datasets with loading of data from disparate data sources like flat files and web, transformed them in Power Query Editor with use of Data Analysis Expressions (DAX).
• Built data model and created relationships in the Power BI Desktop.
• Built various interacted visuals with filter context and published them to Power BI Service.

• Imported data between different Excel files using SSIS/DTS utility and load it to SQL Server after the data transformation.
• Data Validation was done to ensure ambiguous data is not loaded in the database.
• Various components of SSIS like Control Flow, Data Flow,, Event Handler, Package Explorer and Parameters were used to create the packages.
• Created configuration files to deploy the SSIS packages across all environments.
• Created complex SSIS packages using proper control and data flow elements with error handling.
• Created the ETL process flow document.

Mumbai, Maharashtra, IN

• I was the Single Point of Contact for any Oracle Database related queries in the module.
• Was Involved in all the cycles of the SDLC for the project starting from requirements gathering to production.
• Developed the complete database with all the different database objects, procedures, functions,packages,indexes, views.
• Prepared the logical and physical data models using ER Studio
• Ensured stable requirements were implemented which are specific to each SDLC phase.
• Maintained proper scripts in the Source Control (Clearcase) and updated Release notices accordingly.

Pune, Maharashtra, IN

• Created PL/SQL procedures and functions for the automation of our data quality checks.
• Interacted with clients understanding their requirements and determining the process to be followed to ensure data quality throughout the system.
• Onsite experience.
• Developed the Packages, procedures, functions.
• New functionalities were added as per client’s requirement
• Apply constraints and indexes to maintain integrity.