Mayhar Jabbo

Metro Detroit, Michigan

Manufacturing data / production systems

Mayhar Jabbo

Senior Data Engineer / Data Platform Engineer

I build production data systems for manufacturing — from MES and ERP sources through Databricks and Spark pipelines to analytics models, APIs, and applications used on the floor.

My specialty is the hard middle: reverse-engineering undocumented platforms, replacing brittle manual processes, and carrying solutions from architecture through production support.

See the work Resume LinkedIn
[email protected]

Open toSeeking remote-first senior data engineering and data platform roles; open to occasional in-office work in Metro Detroit.

13 yrs
Enterprise technology
5 yrs
Production data engineering
Source to application
End-to-end system ownership
M.S. 2026
Data Analytics · Walsh College
Metro Detroit
Michigan

Impact

Outcomes, not responsibilities.

Four examples of measurable change: faster pipelines, reusable integrations, resilient operations, and ownership beyond launch.

Hoursbecomesunder one minute

Cut critical Spark ingestion from hours to under one minute by redesigning transformations, partitioning, incremental loads, and orchestration.

One-off pipelinesbecomesconfiguration-driven onboarding

Built one reusable ingestion framework where connections, source tables, transformations, load behavior, and destinations are controlled through metadata.

Vendor outagebecomesproduction continuity

Delivered a live MES dashboard that kept the injection molding floor operating with current machine and job information during an extended vendor-system outage.

Siloed layersbecomesend-to-end ownership

Own the full path from MES and ERP through SQL, Spark, Databricks, APIs, Power BI semantic models, and production applications.

Skills

One engineer across the full data path.

The stack is grouped by the job it does — from source systems and ingestion to analytics, applications, and production operations.

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

Full resume

Experience

Built from the infrastructure up.

Thirteen years with one manufacturer: enterprise support, automation and technical leadership, then data engineering and platform ownership. That foundation makes the infrastructure around a pipeline as familiar as the code inside it.

  1. 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.

  2. 2020 — 2021

    IT Supervisor

    Mayco International

    Led the team responsible for enterprise infrastructure and manufacturing systems, prioritizing automation, incident response, and operational continuity.

  3. 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.

  1. 2026

    Master of Science in Data Analytics

    Walsh College

  2. 2018

    Bachelor of Science in Computer Engineering

    Wayne State University

Background and how I engineer

Projects

Systems that had to keep working after I shipped them.

Production work across operational applications, data platforms, systems integration, and analytics. Each case study focuses on the architecture, trade-offs, and hardest engineering decision.

Live production dashboard

2026In production
Problem
When the vendor MES front end became unavailable, the floor still needed current machine state, job details, and access to production history.
Result
A reliable floor-wide production view with audited scrap and downtime corrections through the vendor's supported procedures.
  • Node.js
  • Express
  • JavaScript
  • SQL Server
  • Mattec ProHelp MES

Read the case study: Mattec Live Production Dashboard

Databricks data platform

2021 — presentIn production
Problem
Each new source required a bespoke pipeline, increasing onboarding time and leaving every implementation to evolve differently.
Result
New sources are onboarded through configuration, and critical ingestion that once took hours completes in under a minute.
  • Python
  • SQL
  • Spark SQL
  • Apache Spark
  • Azure Databricks
  • Delta Lake
  • ADLS Gen2
  • Azure DevOps
  • Git

Read the case study: Metadata-Driven Databricks Data Platform

ERP to Microsoft 365

2026In production
Problem
SharePoint processes needed current ERP vendors, tooling, buyers, and requisitioners without re-keying data or maintaining a second source of truth.
Result
Reference data stays current without re-keying, and a new dataset is a configuration block plus a query file.
  • .NET 8
  • C#
  • Db2 for i
  • IBM i
  • ODBC
  • Microsoft Graph
  • SharePoint Online
  • JSON configuration

Read the case study: ERP-to-Microsoft 365 Integration

Custom Power BI visuals

2026Maintained
Problem
Maintenance, safety, and HR teams relied on specific operational layouts that no combination of native visuals and DAX could reproduce.
Result
Four visuals in use in production reports, maintained as report requirements change.
  • TypeScript
  • Power BI Visuals SDK
  • pbiviz
  • DAX
  • Power BI
  • Microsoft Fabric

Read the case study: Custom Power BI Visuals

All projects

Contact

Let's talk about the work.

Email reaches me directly. I’m glad to discuss any of these systems in more depth than a written case study allows.

[email protected]

Metro Detroit, Michigan

Contact details