Accomplished Sr. Analytics Engineer with a proven track record at Shell PLC, leveraging expertise in Azure Data Engineering , Azure ML Power BI to develop transformative data solutions. Demonstrates exceptional analytical thinking and problem-solving skills, significantly enhancing data-driven decision-making processes. Renowned for developing insightful, secure, and scalable data architectures that drive business intelligence and operational efficiency. Ready to serve as leader and subject matter expert in all areas touching data retention, processing, and management. Trusted provider of humanistic management policies expanding data analytics performance.
Development of QPA Leadership Insights dashboard utilizing EDP Lakehouse methodology such has building data lakes, Orchestrating the flows, Unity Catalog standard methodologies for refining the structure of the data, utilizing tools such as Azure Data Lake, Data Factory & Databricks.
Development of Power BI dashboard as a point of truth for verification, analyzing the data & presenting the data with rich storytelling & publishing the dashboard as a QPA source of truth
Designing and implementing data storage solutions on Azure
Building and maintaining data pipelines for data integration and processing
Ensuring data quality and accuracy through testing and validation
Optimizing data processing performance through tuning and monitoring
Developing and maintaining data models
and schemas
Collaborating with other teams to provide data for analytics and reporting
Automated data reporting by using Power Pivot macros.
Developed accurate sales forecasts by analyzing sales feedback and wrote reports for senior leadership.
Developed tools and processes to help improve operational efficiency and enhance sales team productivity.
Generated bar graphs, trend lines, and pie charts to represent sales data.
Produced scheduled and ad hoc reports using Power BI, Tableau.
Gathered, organized and analyzed data, resolved discrepancies, and modeled information.
Completed data cleaning and data validation of existing spreadsheets to promote robust data management platform, resulting in accurate data analysis and entry.
Commissioned and decommissioned data sets under mentor supervision.
Designed and developed data pipelines to acquire, clean and process data.
Developed customized reports, summarizing and presenting data in visually appealing format.
Developed and maintained data warehouses and data marts to support business operations.
Analyzed data to identify root causes of problems and recommend corrective actions.
Updated and developed scripts and queries to extract and analyze data from multiple sources.
Collaborated with stakeholders to identify business needs and data sources.
Azure Data Engineering - DP 203 Certified
Azure Data Scientist - DP 100 Certified
Power Apps - PL 100 Certified
Power BI - PL 300 Certified
Azure - AZ 900 Certified
Power Platform - PL 900 Certified
Azure Databricks
Azure Datafactory
Azure Synapse Analytics
Microsoft Fabric
Azure Machine Learning
AWS Data Engineering
Amazon Redshift
AWS S3
AWS Glue
DP - 100
DP-203
PL-100
PL-300
AZ-900
PL-900
DP - 100
DP-203
PL-100
PL-300
AZ-900
PL-900