Mohamed Asif Ali H

Develop, maintain, and manage Data Pipeline in Azure Databricks Platform & Azure Data Factory.
 Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions.
 Develop Solution Architecture for Data & BI.
 Software Development Life Cycle (SDLC)
 Translate functional and non-functional data and analytics requirements into fit for purpose technical design.
 Ensure solution performance, business edge cases and security related issues are addressed while developing
software.
 Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.
 Complete data engineering coding tasks on problems of moderate to high scope and complexity.
 Demonstrate good coding principles. Conduct code review for peers. Ensure solutions adhere to published data
privacy and cybersecurity principles.
 Operate with a data-driven mindset. Help translate data and analytics requirements into data solutions based on
the approved technical designs. Assist with data analysis activities such as source system analysis, data modelling,
data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business
needs.
 Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
 Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
 Collaborate closely with internal data engineering, architectural and data science colleagues to build out data
frameworks to support reporting needs.
 Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed
Data Governance standards, guidelines and principles.
 Carry out unit testing independently. Troubleshoot issues, and fix defects that are of moderate to high
complexity.
 Hands-on technologies Azure Databricks Delta Lake medallion Architecture, Azure Synapse & Azure Data
Factory, Azure Analysis Service, Power BI Premium – Large & Realtime Semantic Models, with Big Data, Data
Modelling - Tabular Editor 3/Visual Studio, Azure DevOps - CI/CD Continuous Integration and Continuous
Deployment, Tableau, Azure Log Analytics.

Develop, maintain, and manage Data Pipeline in Azure Databricks Platform & Azure Data Factory.
Develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions.
Develop Solution Architecture for Data & BI.
Software Development Life Cycle (SDLC)
Translate functional and non-functional data and analytics requirements into fit for purpose technical design.
Ensure solution performance, business edge cases and security related issues are addressed while developing software.
Debug issues of complexity, resolve blockers and follow design documents with minimal or no supervision.
Complete data engineering coding tasks on problems of moderate to high scope and complexity.
Demonstrate good coding principles.
Conduct code review for peers.
Ensure solutions adhere to published data privacy and cybersecurity principles.
Operate with a data-driven mindset.
Help translate data and analytics requirements into data solutions based on the approved technical designs.
Assist with data analysis activities such as source system analysis, data modelling, data dictionary collection, data profiling and source-to-target mapping to ensure solutions deliver on business needs.
Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Collaborate closely with internal data engineering, architectural and data science colleagues to build out data frameworks to support reporting needs.
Update data inventories and registries as required to keep metadata and data lineage up-to-date, following agreed Data Governance standards, guidelines and principles.
Carry out unit testing independently.
Troubleshoot issues, and fix defects that are of moderate to high complexity.
Hands-on technologies Azure Databricks Delta Lake medallion Architecture, Azure Synapse & Azure Data Factory, Azure Analysis Service, Power BI Premium – Large & Realtime Semantic Models, with Big Data, Data Modelling - Tabular Editor 3/Visual Studio, Azure DevOps - CI/CD Continuous Integration and Continuous Deployment, Tableau, Azure Log Analytics.

Responsible for design, development, and architecture of Microsoft Azure Cloud Data solutions.
Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
Design and implement data ingestion techniques for real time and batch processes for structured and unstructured data sources.
Responsible for implementing robust data pipeline using Microsoft Stack also for creating reusable and scalable data pipelines.
Working on high complex and cross-functional BI solutions.
Organizes and leads projects in the implementation and use of new BI software tools and systems in Microsoft Azure.
Using Azure services to design tools and frameworks for automating report generation, identification of data quality issues, and data governance that enable ad-hoc, self-serve and BI reporting solutions.
Understand business needs to identify and meet data requirements, and participates in supporting workstream and planning process.
Develops and tests BI solutions such as queries, views, reports, data marts, semantic layers and contribute to the company’s data warehouse solution.
Implements data structures using best practices in data modelling, processes, and technologies.
Responsible for implementing robust data models and semantic layers using Microsoft Stack and generate solutions high visual impact mainly in Power BI.
Responsible for creating reusable and scalable dimensional models and OLAP cubes.
Experience in Database Design and development with Business Intelligence using SQL Server Analysis Services (SSAS), DAX, OLAP Cubes, Star, Galaxy and Snowflake schemas.
Expertise in various phases of project life cycles (Design, Analysis, Implementation and testing).

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics by assembling large, complex data sets.
Implemented Business Intelligence Project with BI4Dynamics as ETL Tool (Datawarehouse & Analysis - Multidimensional/Tabular Models) with large datasets from various data sources online/offline and developed various Reports/Dashboards as per business requirements in Excel/Power Query & Microsoft Power BI with Power BI report Servers Premium (Hybrid).
Worked in functional, Support, Change Requests and end user training for Microsoft Dynamics Navision 2016 & NAV5 ERP application modules with LS Retail.
Configure new functionalities in NAV & LS Retail based on business requirement, new store setup & roll out, objects update, user support.
Worked on integration of ERP with various Business systems & Custom API Integration of Microsoft Navision with E-Commerce.
Business Data Analysis - for Retail & Marketing, Data Modelling, Python for Data Analysis & Data Engineering.
Worked in CRM Project to Unify Customer across different channels & configured various marketing activities & workflow automation solutions.
Worked on Loyalty Management Solution.
Worked on Human Resource Information System(HRIS) & Payroll system for all business countries.

Develop ETL Data Pipeline for Data Warehouse and Manage BI Datasets & Reports using Microsoft Power BI and Qlik Sense using Microsoft SQL Data Warehouse.
Provided implementation, functional support and end user training for Microsoft Dynamics Navision 2016 & Microsoft Navision 2013R2 ERP application modules and development of reports using SQL Reporting.
Implemented LS Retail Solution & POS with Navision Integration.
Implemented e-commerce website https:\\www.mi-mena.com

Develop ETL Data Pipeline for Data Warehouse and and Manage Power BI Datasets, Reports & Dashboard.
Provides implementation, functional support and end user training for SAP Business One ERP application modules and development of reports using SAP Crystal Report.
Ensure that all SAP related tickets and tasks in ERP portal are handled at the shortest possible time frame for resolution and that solution steps are properly documented in ERP portal to develop a long term knowledge base.
Managing the SQL Server.

Develop ETL Data Pipeline for Data Warehouse and Manage Power BI Datasets, Reports & Dashboard.
Installation, configuration and support for software for internal customers.
Troubleshoot incidents and provide problem analysis and software testing.
Deliver implementations, upgrades and configurations of Software product.