Data Engineer and Automation Specialist with 15+ years of experience building scalable data pipelines, ETL processes, and workflow automation solutions. Expert in data transformation, database optimization, and developing automated reporting systems across Oracle SQL, Power Query, and Python. Proven track record of architecting enterprise data infrastructure supporting global operations and implementing automation solutions that reduce manual effort by 60-70%. Strong background in data quality management, schema design, and building self-service analytics platforms.
15+ YearsData Engineering & Automation
2M+ Records/DaySubscriber Data Processed via ETL Pipelines
6,500+ UsersServed by Global Data Infrastructure
70%Faster Query Performance via Optimization
PROFESSIONAL EXPERIENCE
Workforce Management Manager & Head of Global Insights (Consultant)
Support Services Group | September 2021 - September 2024
Architected and implemented enterprise-wide data infrastructure supporting global operations across NA, CALA, EMEA, and APAC regions
Designed standardized data collection pipelines using Power Query and Power BI, processing data from 125 lines of business
Built robust ETL workflows for aggregating and transforming operational data from 6,500+ agents across multiple source systems
Developed data warehouse schemas and dimensional models to support executive reporting and analytics requirements
Implemented data governance frameworks ensuring data quality, consistency, and accuracy across multi-region operations
Created automated data refresh schedules and monitoring systems using Power BI Service and custom logging procedures
Optimized query performance through indexing strategies, partitioning, and database tuning
Established data validation processes and error handling mechanisms for production data pipelines
Developed documentation for data architecture, transformation logic, and maintenance procedures
Senior Business Intelligence Analyst
Digicel Jamaica | September 2018 - Present
Developing complex ETL processes in Oracle SQL for transforming subscriber data from multiple source systems
Building automated reporting pipelines using Oracle PL/SQL jobs and Power BI Service, eliminating manual report generation
Designing and maintaining data models supporting customer value management and geographic analytics across 2M+ subscribers
Implementing incremental data refresh strategies to optimize processing time for large-scale datasets
Creating Power Query functions and custom M code for reusable data transformation components
Developing DAX measures and calculated columns for advanced analytics in Power BI semantic models
Optimizing SQL queries to reduce report generation time by 70% through query tuning and indexing
Building data quality checks and validation rules to ensure accuracy of customer segmentation and targeting
Integrating geographic data sources with subscriber information, creating enriched datasets for spatial analysis
Maintaining version control and deployment processes for database objects and Power BI artifacts