نبذة عني
Data Engineer with 4 years of experience architecting and implementing data storage solutions, building scalable ETL pipelines, and enforcing data governance and quality standards across large multi-regional retail opera…
Data Engineer with 4 years of experience architecting and implementing data storage solutions, building scalable ETL pipelines, and enforcing data governance and quality standards across large multi-regional retail operations. Proven track record designing data models and warehousing structures, integrating data from multiple ERP and operational systems, and automating repetitive data processes to improve reliability and save engineering time. Strong SQL and Python skills with hands-on experience in Azure Data Factory, Microsoft Fabric, and BigQuery cloud data warehousing — directly transferable to Snowflake-based architectures. Experienced maintaining data catalogs, lineage, and governance frameworks supporting compliance and audit requirements. Holds an MSc in Statistics (First Class) and Microsoft PL-300 certification. Based in Dubai.
الخبرة
Data Analyst / Data Engineer
<p>Design and maintain data storage and reporting architecture integrating SQL Server, external marketplace portals, and operational systems into governed, well-structured data models.</p><p> Build reusable ETL pipelines extracting, transforming, and loading data from multiple source systems, including an automated marketplace pipeline that reduced manual processing from 10–20 days to near real-time.</p><p> Establish validation and cleansing routines to detect and correct data anomalies, ensuring data accuracy and completeness before it reaches reporting and analytics layers.</p><p> Engage with internal stakeholders to gather data requirements and build custom datasets and views, ensuring dashboards and models are powered by optimized, well-governed data sources.</p><p> Implement data governance standards including access controls, Row-Level Security, and documentation of data ownership and lineage, supporting compliance and audit readiness.</p><p> Optimised SQL queries and transformation logic, improving data processing performance by 50% across large datasets.</p><p> Maintain documentation covering data workflows, transformation logic, and standard operating procedures to support transparency and knowledge sharing.</p>
Data Engineer
<p>Architected and implemented data storage solutions using SQL Server, Azure Data Lake, and Microsoft Fabric, supporting fast data retrieval, efficient storage usage, and scalability for a large multi-regional retail enterprise.</p><p> Analyzed data sources and business needs to build reusable ETL pipelines using Azure Data Factory and Python, extracting, transforming, and loading data from ERP, warehouse, and operational systems designed to scale with growing data volumes.</p><p> Established validation and cleansing routines across ingestion pipelines, detecting and correcting data anomalies before they reached downstream reporting and analytics layers.</p><p> Designed monitoring processes for real-time data accuracy and completeness, enabling trusted insights across commercial, merchandising, and operations departments.</p><p> Worked closely with data governance stakeholders to define standards for data ownership, security, and access, maintaining documentation of data lineage supporting internal audits.</p><p> Set up performance monitoring and logging for data pipelines, proactively detecting issues, investigating root causes, and resolving data delays or errors to fine-tune infrastructure performance.</p><p> Automated recurring, error-prone manual data processes using Python scripts and scheduled workflows, increasing reliability and saving significant engineering time.</p><p> Led the migration of enterprise data architecture from Azure Data Lake Storage to Microsoft Fabric, evaluating and adopting a modern cloud data platform to increase efficiency and scalability.</p><p> Maintained comprehensive documentation covering data workflows, architecture diagrams, and transformation logic to ensure compliance readiness and knowledge continuity.</p>
Data Analyst Intern
<p>Built Python-based automated data pipelines extracting and validating data from emails, PDFs, and Excel, reducing manual data entry by 75% and improving downstream data quality.</p><p> Applied statistical modeling and forecasting supporting operational planning and decision-making.</p><p> Developed dashboards and reports tracking operational KPIs for management review.</p>
المشاريع
Impact of Covid-19 in Fisheries Export and Import in India Using Time
<p>• Objective: Study the impact of Covid-19 on the export and import of fish and fisheries product from India.</p><p>• Tools: R and SPSS.</p><p>• Statistical models: time series, ARIMA, SARIMA, augmented Dickey fuller test, Ljung-Box test, Shapiro-Wilk normality test, residual analysis.</p><p>• Achievements: Constructed a Sarima model with 95% accuracy. And after plotting the actual and predicted values, it shows that the actual is less than predicted. So, it indicates there is an impact.</p>