A strategic and results-driven Data Engineer with expertise in developing modern cloud-based data solutions. Skilled in designing scalable data architectures, including unified storage systems, semantic models and dimens…
A strategic and results-driven Data Engineer with expertise in developing modern cloud-based data solutions. Skilled in designing scalable data architectures, including unified storage systems, semantic models and dimensional data modelling to support enterprise analytics. Experienced in building end-to-end data pipelines and supporting migration of legacy data platforms to Microsoft Fabric for modern, unified analytics. Strong in querying, data transformation, and automating workflows to improve data accessibility and reliability. Demonstrates strong problem-solving capabilities across complex data challenges. A self-starter and strategic thinker, known for independently driving high-impact initiatives aligned with business goals. Committed to agile delivery, data governance, automation, and continuous professional development in cloud data engineering and analytics using tools like Azure Data Factory (ADF), Databricks, and Power BI.
Analysed sensitive data across 600+ tables for GDPR compliance and metadata consistency., Implemented data masking and RBAC and created metadata lineage for regulatory tracking., Applied DevOps practices to automate deployment and monitoring of compliance-related data workflows., Collaborated on data governance initiatives involving Azure Purview and Snowflake sharing principles., Designed innovative solutions for automating compliance checks across big data environments.
Developed scalable ETL pipelines using Python and SSIS for seamless data integration into SQL databases.Created and deployed data workflows via SSDT, managing multiple SSIS domains with scheduled automation.Designed 20+ SSRS and Power BI Report Server (PBRS) environments for enterprise applications.Built dashboards and paginated reports using Power BI and SSRS, enhancing decision-making capabilities.Complex T-SQL quires for data extraction, transformation, and feature engineering across large datasets.Automated data collection and transformation using Power Query, Python, and Google Apps Script.Integrated CI/CD pipelines using GitHub to streamline data processes and support reliable deployments.Collaborated with stakeholders and cross-functional teams to aligned with business goals.
Integrated data flow across 345 institutions using spreadsheet analytics and automated consolidation routines.Managed payroll and budget using Excel and automated reporting with VBA and Google Apps Script.Handled complex data analysis with pivot tables, macros, formulas and automation Scripting.Helped boost student attendance from 60% to 85% by applying actionable outcome insights.Identified 20,000 bogus student’s records to support expenditure regularisation.Trained end users to adopt the newly developed system through in-person sessions and documentation
Developed scalable ETL pipelines using Python and SSIS for seamless data integration into SQL databases.
Created and deployed data workflows via SSDT, managing multiple SSIS domains with scheduled automation.
Designed 20+ SSRS and Power BI Report Server (PBRS) environments for enterprise applications.
Built dashboards and paginated reports using Power BI and SSRS, enhancing decision-making capabilities.
Created complex T-SQL queries for data extraction, transformation, and feature engineering across large datasets.
Automated data collection and transformation using Power Query, Python, and Google Apps Script.
Collaborated with stakeholders and cross-functional teams to aligned with business goals.
Integrated CI/CD pipelines using GitHub to streamline data processes and support reliable deployments.
Integrated data flow across 345 institutions using spreadsheet analytics and automated consolidation routines.
Managed payroll and budget using Excel and automated reporting with VBA and Google Apps Script.
Handled complex data analysis with pivot tables, macros, formulas and automation scripting.
Helped boost student attendance from 60% to 85% by applying actionable outcome insights.
Trained end users to adopt the newly developed system through in-person sessions and documentation.
Identified 20,000 bogus student’s records to support expenditure regularisation.
Designed and deployed data warehouse using Snowflake schema for managing 5.6M NSN components.Built ingestion pipelines using python for mining, cleaning, and integrating metadata into the data warehouse.Improved searchability and analytics with structured queries and optimized schema for fast access.Developed complex model queries, views, functions, and stored procedures to streamline processes for cross-functional teams.
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