Mark Bullock
Lead Platform (Devops) & Data Engineer @Post Office Ltd
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WORK HISTORY
Lead Platform (Devops) & Data Engineer @Post Office Ltd
London, GB
Working on the Data Enablement Programme to build from the ground up, a company wide modern Data Platform / DataLakehouse (AWS and Databricks) to support various business streams: Pick Up Drop Off Parcels, Loans, Insurance, Banking-Leading a team of Platform / DevOps and Data Engineers-Establishing a DevOps framework -Building auto-scaling and re-usable CI/CD DevSecOps components / pipelines, automation using AWS, terraform, GitHub Actions, EKS-Design of Medallion Lakehouse for FDP programme (AWS and Databricks)-Architecting, producing HLD/LLD’s and building cloud infrastructure -Building data pipelines: container based run-anywhere solutions with docker, Python, pyspark-Modernisation of existing data applications / Cloud Migrations, integration with internal and external systems-Designing and building secure API’s, TLS /SSL, API Gateway, DNS, Route53-Designing and building micro service and serverless data solutions / pipelines using EMR, custom build images, Python, PySpark, Hadoop, Pandas, Docker, Glue, Lambdas, DataZone, Automated Testing-Configuring IAM (Identity and Access Management) policies, roles, including cross account access, Lakeformation, RAM-Target data platform / environment is Databricks-Working closely with business colleagues and partners (Accenture).
EDUCATION
Northumbria University
Bsc Honours in Industrial Computing, OOP / Software Eng / Robotics/ Distributed Systems
SKILLS
ABOUT MARK BULLOCK
Principal Cloud & . DevOps Architect / Lead Engineer with certifications, experience managing engineering / technical teams, projects: AI / Machine Learning High Performance Computing (HPC, GPU) solutions, innovation, major Cloud migrations / modernisation & digital programmes across all business sectors for large multi-national corporations.Ability to listen to both technical and non- technical colleagues discuss requirements and turn them into successful production grade designs (HLD/LLD) then build working technical prototypes and production products-Architect & build of Kubernetes clusters to run micro-service Production workloads securely with elasticity, auto scaling-Building AI / high performance clusters, environments: GPU, Nvidia, Machine learning with CI/CD, DevSecOps, automation-Architect & build of Edge Computing & Cloud Solutions, Machine Learning, AWS, IOT, 5G, Multi Access Edge Computing (MEC), Real Time Streaming, Real Time Analytics, Business Intelligence, ETL:Azure Data Factory, Spark, Pandas, Glue, Python, Java, Informatica-Experience leading medium size Engineering / DevOps / technical teams and projects / programmes for multiple companies-Networking architecture / solutions, Peering, IPSec, VPN configuration-Designing security solutions, SIEM-On-premise migrations to the cloud: micro-services, Kubernetes, serverless solutions across a range of Cloud Hyperscalers.Projects / Use Cases -Cloud Edge /Wavelength projects carried out, ign / solutions, containerisation, API’s, micro-services. included Drone Tracking, Object Detection, Accident Prevention, Smart Cities, Data Lakehouse / platforms.
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