Cornelius Jemison

About Cornelius Jemison

Creative and impact-driven engineering leader with 20+ years of experience designing large-scale data platforms, streaming systems, and cloud-native applications. Skilled in leading global teams, scaling distributed systems, and aligning architecture with business outcomes. Adept in multi-cloud (AWS, Azure, GCP), data engineering (Spark, Snowflake, Databricks, Kafka), and MLOps pipelines. Software Engineering is my forté.Core Strengths: • Cloud Data Architecture (AWS, Azure, GCP) • Data Engineering & Streaming (Spark, Kafka, Airflow, Delta Lake, Snowflake) • MLOps / Machine Learning Platforms (Azure ML, Kubernetes) • API & Microservices Architecture (Java, Python, Go, Quarkus, Django, Flask) • CI/CD, Infrastructure-as-Code (Terraform, Argo, Helm, GitHub Actions) • Leadership: team building, mentoring, cross-functional collaboration

Experience

1. Cloud Data Architect

   LabConnect

   Dec 2025 — Present

   Principal enterprise data architect leader at LabConnect. Hands-on engineer responsible for a global team for the digital transformation to the Azure cloud. Drove strategies to integrate with third-party vendors. SME on all things Azure Cloud.Drove existing data platforms to cloud-based Azure solution, including building moving existing SQL Server databases (100+ TB) and unstructured datasets to a lake house implementation and enterprise data warehouse. Implemented data pipelines for third-party integration with Salesforce, UPS, DHL, Cornerstone, Replicon, Microsoft NAV, Share Point, and Sapio (Lab Sample Management SAAS).Designed and implemented enterprise data strategies centered around scalable data model standards to support time-shifted datasets with delta comparisons in real time. Implemented data ingestion, transformation, data dictionary management and standards for role-based RBAC patterns.Designed and implemented data streaming strategies for dashboards and AI linear regression models for predictive analysis that include event-based architecture with actionable data segmentation at scale.Develop Python API REST-based endpoints to provide data ingestion with third-party web-hooks with multiple SAAS partners.Partnered with engineering teams and lab managers to promote current data and software development practices on Kubernetes and FAAS.Skills: Azure Cloud, Azure Data Factory, Azure Synapse (Spark, SQL, Dedicated SQL Pool), Apache Spark, Azure CosmoDB, Azure Kubernetes (Docker, ACS), CICD, Python(pyspark, pandas, numpy, pytorch, pyodbc, Flask API), Scala, Azure Purview, Azure DevOPS, Linux Scripting, Git, Github Actions, PowerBI

Education

• Western Illinois University

  Bachelors, Computer Science

  2001 — 2004

• Prairie State College

  Associate of Arts - AA, Liberal Arts and Sciences/Liberal Studies

  1998 — 2001

• Northwestern University

  Certificate, Information Systems Project Management

  2008 — 2009

• Northwestern University

  Masters, Information Systems

  2010 — 2019

• Governors State University

  Masters, Computer Science

  2005 — 2006