Jae Pasha

Core competencies

Hands-on delivery across cloud platforms, data engineering, security, and automation.

Cloud platforms

Azure, AWS, and GCP with production delivery across compute, data, and networking.

AKSApp ServicesCosmos DBLambdaBigQuery

Architecture and IaC

Infrastructure as code, platform design, and repeatable environments.

TerraformBicepKubernetesDockerVNETs

DevOps and CI/CD

Automation pipelines and release engineering for stable production delivery.

GitHub ActionsJenkinsAzure DevOpsHelmServiceNow

Security and compliance

Identity, policy, and audit ready environments aligned with enterprise standards.

IAMRBACSOC2ISOVault

Programming and data

Engineering in Python, C#, PowerShell, SQL, and Java for data and automation workloads.

PythonC#PowerShellSQLJava

Monitoring and cost ops

Production monitoring with cost visibility and performance telemetry.

Azure MonitorPrometheusGrafanaFinOps

Professional experience

Selected roles with impact-focused delivery and measurable results.

Dye and Durham Corporation - Cloud Data Engineer

07/2025 - Present | Cardiff, UK

Own production database reliability for compliance critical identity verification platforms.
Delivered 24/7 health monitoring and alerting, cutting incident detection from hours to minutes.
Reduced cloud costs by about GBP 3,000 per month through diagnostic logging and retention tuning.
Automated index maintenance and integrity checks with audit-ready CommandLog trails.
Produce executive reporting on capacity, growth trends, and infrastructure risk.

Huxan Holdings Group - Managing Director and Founder

04/2024 - 07/2025 | London, UK

Founded a UK technology company focused on applied AI, automation, and cloud products.
Led architecture, delivery planning, and early stage product execution.
Built a distributed team across UK and India for engineering, design, and marketing.
Delivered AI and cloud prototypes from concept to validation.
Participated in Microsoft for Startups, Amazon for Startups, and HSBC-backed BayHQ.

The House of qAmi - Solutions Engineer

12/2022 - 01/2024 | UK, US, Nigeria

Owned end-to-end delivery for multiple mobile products across iOS and Android.
Built cloud backends on AWS and GCP with autoscaling, load balancing, and monitoring.
Implemented CI/CD pipelines and managed B2B integrations with SSL and AS2 security.
Led code reviews and mentored junior developers across regions.

Google via Software AG - Assistant Software Consultant

09/2021 - 09/2022 | Remote, US

Maintained 100 percent SLA and achieved a 5-star rating from Google executives.
Executed a zero downtime GCP migration and integration server upgrade.
Managed B2B integration security profiles, SSL and AS2 certificates, and partner connectivity.
Used Gerrit and Jenkins for CI/CD, load balancing, autoscaling, and cost analysis.

IEEE and PES University - Research Project Team Lead

08/2020 - 08/2021 | Bangalore

Built autonomous robotics systems using OpenCV, ROS, and TensorFlow.
Authored IEEE-cited research on deep learning for visual detection.

Education and certifications

Academic background and key credentials.

Education

Brunel University London - Masters in International Business, 2:1
PES University - BTech in Electronics Engineering, 2:1
PVP Polytechnic - Diploma in Electronics Engineering, First

Certifications

Microsoft Azure Solutions Architect Expert (AZ-305)
Microsoft Azure Administrator (AZ-104)
PRINCE2 Certified Professional
ITIL v4
Certified Ethical Hacker
AI Security and Governance

Other experience

Leadership, research, and community work that informs delivery style.

Leadership and programs

Non-Profit Director, London Future Estd CIC - EcoZex AI platform (SME energy cost reduction)
General Manager, Mentorship and Startups - Microsoft for Startups, Amazon for Startups, BayHQ
Debater and Policy Maker, United Nations - UNPRME strategy challenge

Innovation and research

Human-Centered Design and Innovation, D-Ford - AI mobility prototypes using Python and Azure IoT
Research in robotics and computer vision using OpenCV, ROS, and TensorFlow

Contact and location