09/28/2026 updated
100 % available
Data Architect | AI & Data Engineer | Data Lead | Data Consultant
London, United Kingdom
Only remote
Post Graduate in Microsoft Technologies, NIIT IndiaAbout me
Databricks & Microsoft Certified Gen AI | Solution Architect | Data Engineer | Power BI 15+ years of IT experience in Designing, Developing and implementing data solutions on Microsoft products such as Azure (AI Search, Data lake, Data Factory, SQL Synapse, Power BI, Fabric) & Databricks
Sql Data WarehouseData AnalysisMicrosoft AzureBusiness IntelligenceBusiness Intelligence DevelopmentBig DataData ArchitectureData IntegrationData MigrationData MiningData StructuresData Vault ModelingData VirtualizationDatabase DesignDatabase Development
Azure Cloud Data Engineering
Extensive expertise in designing and developing ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, Data Lake Storage, Logic Apps, Data Key Vault, Event Hub, Stream Analytics, and Azure Functions for batch and real-time data processing across Medallion Architecture layers.
Data Architecture & Modelling
Advanced proficiency in data architecture including Medallion, Kappa, and Data Lake architectures, dimensional modelling (Star, Snowflake, Constellation schemas), OLTP and OLAP design, ETL architecture, and data warehousing methodologies such as Kimball, Inmon, Data Vault, and Agile Data Warehousing.
Business Intelligence & Reporting
Strong background in Business Intelligence development using SSIS, SSAS, SSRS, and Power BI, including creation of complex DAX functions, Power Pivot models, SSAS Tabular models, Dimension and Fact Tables, and end-to-end BI platform delivery.
Machine Learning & AI
Practical experience with Azure Machine Learning, Azure AI, Azure Open AI, LLM, and ChatGPT for developing and deploying AI models to automate business processes, achieving significant improvements in operational efficiency.
Data Migration & Integration
Comprehensive knowledge of SAP migration to Azure, on-premises to cloud migration, database migration across SQL Server, Oracle, and PostgreSQL, data transformation (ETL), schema conversion, database replication, and use of Azure Database Migration Service.
Master Data Management (MDM)
Solid experience with SQL MDS 2008 R2/2012, Profisee, and Data Quality Services (DQS) for master data and reference data management, data quality analysis, data cleansing, and data mining.
Programming & Query Languages
Proficiency in T-SQL, MDX, DAX, PostgreSQL SQL, PL/pgSQL, ANSI SQL, Python, PySpark, Spark SQL, U-SQL, SAS, C#, and VB.NET for data processing, analytics, and application development.
Configuration Management & DevOps
Hands-on experience with Git, GitHub, GitLab, Azure DevOps, Jenkins, PowerShell, and CI/CD pipelines for version control, continuous integration, and deployment of data and AI solutions.
Third-Party & Big Data Tools
Experience with Confluent, Snowflake, dbt, Palantir, Apache Spark, Apache Hadoop, and Hive for integrating structured, semi-structured, and unstructured data sources and enabling large-scale data processing.
CRM/ERP Systems
Working knowledge of SAP, Microsoft Dynamics CRM/D365, Salesforce, and Microsoft Dynamics AX for data integration and reporting across enterprise resource planning and customer relationship management platforms.
Extensive expertise in designing and developing ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, Data Lake Storage, Logic Apps, Data Key Vault, Event Hub, Stream Analytics, and Azure Functions for batch and real-time data processing across Medallion Architecture layers.
Data Architecture & Modelling
Advanced proficiency in data architecture including Medallion, Kappa, and Data Lake architectures, dimensional modelling (Star, Snowflake, Constellation schemas), OLTP and OLAP design, ETL architecture, and data warehousing methodologies such as Kimball, Inmon, Data Vault, and Agile Data Warehousing.
Business Intelligence & Reporting
Strong background in Business Intelligence development using SSIS, SSAS, SSRS, and Power BI, including creation of complex DAX functions, Power Pivot models, SSAS Tabular models, Dimension and Fact Tables, and end-to-end BI platform delivery.
Machine Learning & AI
Practical experience with Azure Machine Learning, Azure AI, Azure Open AI, LLM, and ChatGPT for developing and deploying AI models to automate business processes, achieving significant improvements in operational efficiency.
Data Migration & Integration
Comprehensive knowledge of SAP migration to Azure, on-premises to cloud migration, database migration across SQL Server, Oracle, and PostgreSQL, data transformation (ETL), schema conversion, database replication, and use of Azure Database Migration Service.
Master Data Management (MDM)
Solid experience with SQL MDS 2008 R2/2012, Profisee, and Data Quality Services (DQS) for master data and reference data management, data quality analysis, data cleansing, and data mining.
Programming & Query Languages
Proficiency in T-SQL, MDX, DAX, PostgreSQL SQL, PL/pgSQL, ANSI SQL, Python, PySpark, Spark SQL, U-SQL, SAS, C#, and VB.NET for data processing, analytics, and application development.
Configuration Management & DevOps
Hands-on experience with Git, GitHub, GitLab, Azure DevOps, Jenkins, PowerShell, and CI/CD pipelines for version control, continuous integration, and deployment of data and AI solutions.
Third-Party & Big Data Tools
Experience with Confluent, Snowflake, dbt, Palantir, Apache Spark, Apache Hadoop, and Hive for integrating structured, semi-structured, and unstructured data sources and enabling large-scale data processing.
CRM/ERP Systems
Working knowledge of SAP, Microsoft Dynamics CRM/D365, Salesforce, and Microsoft Dynamics AX for data integration and reporting across enterprise resource planning and customer relationship management platforms.
Experience
Professional experience10+ years
Freelancer since2014
Languages
EnglishNative speaker
Project history
Design and develop ETL/ELT pipelines using Azure Data Factory to ingest, transform, and move data. Implement Medallion Architecture with Bronze, Silver, and Gold layers. Develop scalable data processing solutions using Azure Databricks (Apache Spark) for batch and real-time transformations. Implement Delta Lake for ACID-compliant data lake storage. Manage data access and security using Unity Catalog. Develop serverless Azure Functions for event-driven data processing. Implement RESTful APIs and optimize Databricks clusters for cost and performance.
Collaborated with cross-functional teams to integrate AI solutions into enterprise applications. Developed and deployed AI models using Azure Machine Learning achieving 80% improvement in operational efficiency. Designed scalable data pipelines using Azure Data Factory and Azure Synapse Analytics. Implemented a robust metadata framework with Medallion Architecture. Managed cloud infrastructure using Azure DevOps with CI/CD. Implemented Star Schema on the Gold Layer with Synapse. Technical environment: Azure Machine Learning, Azure Databricks, Azure AI, Azure Synapse, Azure SQL Database, Azure Data Explorer, Azure Analysis Service, Event Hub, Azure Function, CI/CD, Power BI, Snowflake and dbt.
Designed cloud-based data platforms using Azure Databricks, Azure SQL Database, Azure Data Lake Storage Gen 2, Azure Logic Apps, Azure Data Factory V2, and Azure Blob Storage. Built conceptual, logical, and physical data models for analytical use cases. Defined data architecture frameworks, standards, and principles. Mapped data from source to target and worked in an agile environment. Technical environment: Data Factory, ADLS Gen2, Databricks, Azure Synapse, Event Hub, Azure Function, and PySpark (Python).