Neriya Expert Faculty

Rems Mbah

Senior Application Support Engineer
Expert Trainer, Neriya Tech Academy

Washington, DC–Baltimore Area, United States

Professional biography

Enterprise data platforms, analytics and governance.

Rems Mbah is an Expert Trainer at Neriya Tech Academy and an enterprise IT professional with 18+ years of industry experience. His background spans cloud-based and on-premises data analytics, migration, integration, data lakes, master data management, data warehousing, application support and testing.

His work connects technical delivery with data governance, regulatory requirements, privacy, data protection and infrastructure security. His experience includes mentoring engineers, reviewing code, documenting architecture, and supporting training within enterprise delivery.

His technical background includes SQL, Python, PySpark, dbt, Snowflake, Databricks and services across AWS, Microsoft Azure and Google Cloud. He also works with data modeling, relational and NoSQL databases, workflow orchestration, real-time analytics and business intelligence.

Selected enterprise experience

Senior Application Support Engineer — U.S. Department of Homeland SecurityDecember 2025–present

ETL support, analytics solutions, data governance, protection of personally identifiable information, security and access control, and domain-oriented data management.

Senior Data Engineer / Architect — GuestLodgingsJanuary 2022–December 2025

Data governance frameworks, privacy and security standards, centralized data access, auditing, lineage, Power BI analytics, architecture documentation, code reviews and engineer mentoring.

Senior Data Engineer — Federal Reserve BoardJuly 2021–January 2022 · Contract

Data migration, analytics architecture, Spark SQL development, data quality and lineage, metadata management, secure data sharing and development practices.

Senior Big Data Developer / Architect — U.S. Securities and Exchange CommissionJune 2019–June 2021 · Contract

Data migration and analytics solutions, data-feed extraction, Python and PySpark pipelines, structured and unstructured data processing, and big-data storage strategies.

Senior Solutions Architect — Administrative Office of the United States CourtsSeptember 2018–May 2019 · Contract

Technical leadership for data lakes and enterprise data warehouses, requirements analysis, architecture, development, testing, training, implementation and data management strategy.

Technical focus

Data engineering & integrationETL, data pipelines, SQL, Python, PySpark, dbt, Apache Airflow and Kafka.

Cloud & big dataAWS, Azure, Google Cloud, Databricks, Spark, Hadoop, Amazon EMR and Azure Synapse Analytics.

Governance & securityData quality, lineage, metadata, access control, Microsoft Purview, Unity Catalog and data protection.

Modeling & databasesConceptual, logical and physical data modeling; master data management; data warehousing; relational and NoSQL platforms.

Analytics & visualizationPower BI, Tableau, Amazon QuickSight, data lakes, lakehouses and data warehouses.

Engineering deliveryAgile and Scrum, SAFe, DevOps, testing, REST APIs, containers, infrastructure automation and engineering collaboration.

Education

Master of Science in Information TechnologyUniversity of Maryland Global Campus · 2011–2014

Specialization in data mining, machine learning, data warehousing and database systems technology.

Graduate Certificate Program in Data Analytics and Database Systems TechnologyUniversity of Maryland Global Campus · 2013–2014

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