Resume
Mayhar Jabbo
Senior Data Engineer / Data Platform Engineer
Metro Detroit, Michigan
Profile
Profile
Senior data engineer with five years in production data engineering and thirteen years in enterprise technology, building across manufacturing systems, data platforms, analytics, and operational applications.
- Architected and delivered a distributed Azure Databricks lakehouse using ADLS Gen2, Spark, Delta Lake, and bronze, silver, and gold layers.
- Created a reusable Python, SQL, and Spark ingestion framework driven by metadata for source onboarding, orchestration, transformation, validation, and target-table creation.
- Cut critical end-to-end ingestion from multiple hours to under one minute by redesigning Spark transformations, partitioning, incremental loads, and orchestration.
- Integrated MES, IBM i ERP, SQL Server, SharePoint Online, Microsoft Graph, REST APIs, and IoT sources with data-quality checks, schema evolution, structured logging, and recovery paths.
- Verified and documented undocumented MES and ERP data for machine cycles, downtime, scrap, and OEE before exposing those metrics to reports and applications.
- Developed enterprise Power BI semantic models, DAX measures, and Power Query transformations while improving refresh reliability and capacity use by moving intensive logic into SQL and Databricks.
- Shipped a live MES production dashboard that became the injection molding floor's operational view during an extended vendor-system outage.
Experience
Experience
2021 — Present
Senior Systems Analyst, Data Engineering & Platform Architecture
Mayco International
Own the data platform and surrounding integrations and applications, from architecture and delivery through monitoring, incident response, and production support.
- Azure Databricks lakehouse architecture
- Metadata-driven ingestion pipelines
- MES and ERP integration
- SQL Server data warehousing
- Power BI and Fabric semantic models
- Operational applications
- Production ownership
2020 — 2021
IT Supervisor
Mayco International
Led the team responsible for enterprise infrastructure and manufacturing systems, prioritizing automation, incident response, and operational continuity.
- Technical leadership
- Manufacturing infrastructure
- Incident response
- Automation
- Operational continuity
2013 — 2020
IT Support and Technician roles
Mayco International
Progressed through hands-on support roles across plant and business systems, building the infrastructure, database, and networking foundation behind my later data work.
- Enterprise support
- Scripting and automation
- Databases and networking
Skills
Technical stack
Data platform
Ingesting, transforming, and storing production data
- Python
- SQL / T-SQL
- Spark SQL
- Apache Spark
- Azure Databricks
- Delta Lake
- ADLS Gen2
- SQL Server
Systems integration
Connecting systems that were never designed to work together
- C#
- .NET 8
- Microsoft Graph
- REST APIs
- IBM i
- Db2 for i
- ODBC
- SharePoint Online
- MES / ERP integration
Analytics
Turning operational data into reliable decisions
- Power BI
- Microsoft Fabric
- DAX
- Power Query / M
- Semantic models
- TypeScript
- pbiviz SDK
Applications and automation
Tools built for people to use in production
- Node.js
- Express
- JavaScript
- TypeScript
- PowerShell
- AutoHotkey
Delivery and operations
Shipping systems and keeping them reliable
- Git
- Azure DevOps
- CI/CD
- VS Code
- Structured logging
- Monitoring
- Schema evolution
- Production support
Education
Education
2026
Master of Science in Data Analytics
Walsh College
2018
Bachelor of Science in Computer Engineering
Wayne State University