Godwin Ibiam

Data Engineer & Enterprise business Specialist

10+ years of experience architecting scalable data pipelines, optimizing cloud infrastructure and delivering high-availability network solutions with measurable business impact.

99.99%
System Uptime
30%
Faster Processing
£10K
Quarterly Savings

About Me

Bridging Data Engineering & Enterprise Business

Results-driven professional with extensive expertise in both data engineering and network infrastructure. Proven success in architecting scalable data pipelines, optimizing cloud data warehouses, and deploying high-availability network infrastructures that consistently deliver 99.99%+ uptime.

Skilled in leveraging cutting-edge technologies like Python, SQL, Airflow, BigQuery, and AWS/GCP to drive data informed decisions while leading large scale enterprise modernizations that significantly improve performance and reduce costs.

Holds an MSc in Information and Communication Technology (Open University of Nigeria), which grounds me in advanced telecom and ICT concepts, and an MBA in Management (University of Nigeria, Nsukka), which sharpens my ability to lead teams, manage resources, and align technical projects with business objectives

Thrive in environments where technology is central to business growth, whether through network infrastructure leadership, data engineering solutions, or cross-functional team management. Particularly drawn to roles that allow me to combine strategic oversight with technical execution, ensuring both high availability in networks and value creation through data.

10+
Years Experience
1000+
Sites Managed
75+
Enterprise Clients
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Technical Expertise

Data Engineering

Python SQL Apache Spark Airflow BigQuery ETL/ELT Data Warehousing Power BI Kafka

Cloud & Infrastructure

AWS GCP Azure VMware Docker Kubernetes CI/CD DevOps

Enterprise Business

MPLS SD-WAN Network Security Fiber Optics Satellite Systems 5G Technologies VoIP RF Systems Edge-centric

Professional Experience

Data Engineer consultant

Amdari Inc. - UK | May 2025 - Present

Optimized data infrastructure and implemented machine learning solutions to drive business insights.

Built and managed large-scale batch data pipelines using Apache Spark on AWS EMR for high-volume transactional and behavioral data, reducing processing time by 30% and enhancing data availability for analytics teams.
Developed end-to-end machine learning pipelines with Python and Airflow for automated model training, testing, and deployment, supporting marketing campaigns and achieving 12% ROI improvement.
Redesigned cloud data warehouse architecture on Google Cloud using BigQuery and Cloud Storage, optimizing storage and queries to deliver £10,000 quarterly cost savings.
Implemented monitoring across data pipelines integrating Airflow, Kafka metrics, and logs into Power BI and Excel dashboards, identifying issues early and cutting resource usage by 20%.
Collaborated with analytics and business teams to develop data models and reliable ETL/ELT pipelines for faster reporting and decision-making.
Mentored junior data engineers via code reviews and best practices, reducing deployment errors by 35% and boosting team productivity.

Senior Data Engineer – Satellite & RF Networks

Inq Nigeria | 2020 – 2025

Led network transformation and modernization initiatives across 3,000+ sites.

Architected enterprise data platform for satellite and RF networks (C/Ku/Ka bands), designing batch and streaming pipelines processing terabyte-scale telemetry data, improving signal quality and customer service by 20%.
Designed fault-tolerant data systems for link budget analysis, spectrum planning, and interference management with OSS/BSS/RF integration, achieving 99.99% uptime.
Engineered performance-tuned pipelines for adaptive coding, modulation, and dynamic power control, increasing bandwidth efficiency and reducing costs by 15%.
Collaborated with NOC, Service Delivery, Finance, and business teams to unify network data for real-time KPI/SLA tracking, enhancing stability and satisfaction by 25%.
Managed transponder capacity planning and VSAT integration from legacy systems, optimizing spectrum use by 18% and lowering cloud costs.

Data Infrastructure Engineer – Telecom Enterprise Platforms

Vodacom Business Nigeria | 2016 – 2020

Managed Tier III data center operations and infrastructure strategy.

Managed and optimized databases, storage solutions, and networks in Tier III/IV data centers, including capacity planning, performance tuning, and resource allocation for terabyte-scale datasets, resulting in 20% improved efficiency and 15% operational cost reductions.
Implemented monitoring, security, and compliance measures, including proactive logging, alerting, data encryption, backups, disaster recovery, and adherence to ITIL and ISO 27001 standards, minimizing downtime by 25% and ensuring regulatory compliance.
Optimized network performance through telecom-specific integrations, such as spectrum planning, interference mitigation, and analysis of traffic patterns for 5G/IoT readiness, enhancing low-latency operations and enterprise connectivity.
Led cloud migration and modernization initiatives, transitioning legacy systems to hybrid environments using VMware, Hyper-V, Azure, and GCP, enabling scalable ETL/ELT pipelines and fault-tolerant architectures for advanced analytics.
Provided troubleshooting and technical support for data centers, networks, and telecom infrastructure, conducting root-cause analysis on issues like VoIP disruptions and fiber optics, while collaborating with NOC and service delivery teams for real-time KPI/SLA tracking.
Fostered collaboration and mentoring across cross-functional teams, including data scientists, analysts, and engineers, to translate business needs into technical solutions, document processes, and recommend tools for ongoing efficiency improvements.

Data Engineer – Broadband Wireless &Teleport Networks

Gateway Business Nigeria | 2011 – 2016

Designed and deployed a resilient data transmission and telemetry pipeline using C-band/L-band SCPC architecture with 1:1 hot standby redundancy, commissioning 40+ remote nodes on Intelsat 802 to ensure high-availability data flow supporting critical network and analytics systems.

Led nationwide data platform rollout for Broadband Wireless Access, integrating RF telemetry and OSS/BSS data for 99.9% reliability and compliance.
Engineered distributed pipelines for 32+ teleport nodes, optimizing route reconfiguration and latency monitoring, reducing latency by 20%.
Implemented high-availability monitoring and CI/CD systems with field sensor integration, cutting downtime by 25%.
Built real-time diagnostic pipelines for troubleshooting, improving data quality, governance, and SLA performance.

Network & Data Systems Engineer

GSTelecom Nigeria | 2006 – 2011

Built telemetry pipelines, real-time monitoring solutions and cloud-based data workflows, with a proven ability to design reliable data systems, improve data quality, and deliver scalable solutions for analytics and operational efficiency.

Designed and deployed data-driven LAN/WAN infrastructure in under-served regions, building telemetry pipelines that improved network visibility and expanded service coverage by 10%.
Engineered real-time monitoring systems for satellite and microwave networks (2.4m–6.5m), increasing throughput by 15% through performance tracking and proactive issue detection.
Applied data modeling and RF propagation analysis to optimize network performance and predict disruptions, reducing downtime through predictive insights.
Established data quality and documentation standards, mentoring field engineers and reducing operational rework by 20% while improving compliance and traceability.

Key Projects

Cloud Data Warehouse Optimization

Re-architected GCP BigQuery data warehouse with improved partitioning and storage lifecycle policies.

GCP BigQuery Python SQL
£10K
Quarterly Savings
40%
Query Improvement

Network Modernization Initiative

Led fiber optics deployment to replace legacy microwave backhaul across 1,000+ sites.

MPLS SD-WAN Fiber Optics SolarWinds
60%
Bandwidth Increase
45%
Latency Reduction

Machine Learning Operationalization

Implemented automated ML deployment pipeline using Python and Airflow for predictive analytics.

Python Airflow ML AWS
95%
Model Precision
12%
ROI Increase

Get In Touch

Contact Information

godwin.ibiam@gmail.com
Abuja, Nigeria