ebad Mohd husain

• Design, develop, and deploy ETL pipelines using SSIS for efficient extraction, transformation, and loading of data from various sources into data warehouse.
• Implement complex data integration workflows and data cleansing processes to ensure data accuracy and consistency.
• Utilize Azure Data Factory (ADF) to orchestrate and automate data workflows, integrating data across on-premises and cloud environments.
• Develop and optimize T-SQL scripts for data manipulation, querying, and performance tuning.
• Design and implement ETL/ELT processes using Pentaho Data Integration for seamless data movement and transformation.
• Proficient in data analysis and manipulation using Microsoft Excel.
• Collaborate with cross-functional teams to gather requirements and define data architecture standards and best practices.
• Manage and maintain data repositories, including Azure Blob Storage and ADLS Gen 2, ensuring data security, availability, and scalability.
• Handle end-to-end data requirements for analytics projects, ensuring data integrity, accuracy, and availability.
• Develop and automate ETL processes using SSIS and Azure Data Factory for efficient data extraction, transformation, and loading.
• Create data models for seamless integration and analysis of structured and unstructured data.
• Troubleshoot development and data issues, implementing effective solutions to ensure smooth operations.
• Conduct performance tuning activities to optimize data processing and query performance.
• Interact with clients to understand their requirements, provide technical guidance, and address concerns.
• Lead and assist the team in new development initiatives and issue resolution.
• Manage multiple projects simultaneously, ensuring timely delivery and adherence to project requirements.

Manage Mobily Managed Router Service Database.
Create weekly, monthly and yearly reports for incidents using Excel and Power BI
Worked in Remedy ticketing tool for collecting data
Maintained and refreshed Power BI Reports
Worked with multiple teams to collect data
Worked with OP Manager tool get information about routers status.
Create detailed incident reports for the services which were interrupted by coordinating with network and system team engineers.

Design, develop, and deploy ETL pipelines using SSIS for efficient extraction, transformation, and loading of data from various sources into data warehouse.
Implement complex data integration workflows and data cleansing processes to ensure data accuracy and consistency.
Utilize Azure Data Factory (ADF) to orchestrate and automate data workflows, integrating data across on-premises and cloud environments.
Develop and optimize T-SQL scripts for data manipulation, querying, and performance tuning.
Design and implement ETL/ELT processes using Pentaho Data Integration for seamless data movement and transformation.
Proficient in data analysis and manipulation using Microsoft Excel.
Collaborate with cross-functional teams to gather requirements and define data architecture standards and best practices.
Manage and maintain data repositories, including Azure Blob Storage and ADLS Gen 2, ensuring data security, availability, and scalability.
Handle end-to-end data requirements for analytics projects, ensuring data integrity, accuracy, and availability.
Develop and automate ETL processes using SSIS and Azure Data Factory for efficient data extraction, transformation, and loading.
Create data models for seamless integration and analysis of structured and unstructured data.
Troubleshoot development and data issues, implementing effective solutions to ensure smooth operations.
Conduct performance tuning activities to optimize data processing and query performance.
Interact with clients to understand their requirements, provide technical guidance, and address concerns.
Lead and assist the team in new development initiatives and issue resolution.
Manage multiple projects simultaneously, ensuring timely delivery and adherence to project requirements.
Integrated data from Microsoft SharePoint into the Data Warehouse using SQL Server Integration Services (SSIS) using OData source.
Integrated data from Vision Plus sources, stored in 24 different files, into the Data Warehouse.
Uploaded files into ADLS Gen 2 and created Azure Data Factory pipelines for data integration.
Integrated data from Finacle database (Oracle) using SSIS and Azure Blob Storage.
Developed pipelines to extract data into files, upload to Blob Storage using AZ Copy, and load into final tables (Dimensions & Facts).
Refreshed cubes to populate the latest data in SSAS databases using Azure Synapse as source.
Managed 5 multidimensional cube databases and 2 tabular cube databases for reporting purposes in Power BI.

Manage Mobily Managed Router Service Database
Create weekly, monthly and yearly reports for incidents using Excel and Power BI
Worked in Remedy ticketing tool for collecting data
Maintained and refreshed Power BI Reports
Worked with multiple teams to collect data
Worked with OP Manager tool get information about routers status
Create detailed incident reports for the services which were interrupted by coordinating with network and system team engineers

Design, develop, and deploy ETL pipelines using SSIS for efficient extraction, transformation, and loading of data from various sources into data warehouse
Implement complex data integration workflows and data cleansing processes to ensure data accuracy and consistency
Utilize Azure Data Factory (ADF) to orchestrate and automate data workflows, integrating data across on-premises and cloud environments
Develop and optimize T-SQL scripts for data manipulation, querying, and performance tuning
Design and implement ETL/ELT processes using Pentaho Data Integration for seamless data movement and transformation
Proficient in data analysis and manipulation using Microsoft Excel
Collaborate with cross-functional teams to gather requirements and define data architecture standards and best practices
Manage and maintain data repositories, including Azure Blob Storage and ADLS Gen 2, ensuring data security, availability, and scalability
Handle end-to-end data requirements for analytics projects, ensuring data integrity, accuracy, and availability
Develop and automate ETL processes using SSIS and Azure Data Factory for efficient data extraction, transformation, and loading
Create data models for seamless integration and analysis of structured and unstructured data
Troubleshoot development and data issues, implementing effective solutions to ensure smooth operations
Conduct performance tuning activities to optimize data processing and query performance
Interact with clients to understand their requirements, provide technical guidance, and address concerns
Lead and assist the team in new development initiatives and issue resolution
Manage multiple projects simultaneously, ensuring timely delivery and adherence to project requirements