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Emmanuel Offisong

@emmanueloffisong

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Senior cloud & data engineer building secure AWS/GCP/Azure platforms with Kubernetes, Terraform, and DevSecOps.

Nigeria

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What I'm looking for

I’m looking to modernize and secure cloud data/AI platforms—owning Kubernetes/Terraform deployments, DevSecOps guardrails, and scalable pipelines—so I can ship automation that cuts deployment and debugging time.

I’m a Cloud Engineer and Data Engineer with 7+ years of experience designing secure AWS, GCP, and Azure platforms. I specialize in Kubernetes, Terraform, DevSecOps, data engineering, and AI-powered automation.

I’ve delivered infrastructure supporting millions of records daily, reduced deployment times from hours to minutes, and led cloud modernization initiatives across fintech, data, and AI-driven organizations. In my recent work, I migrated 5TB+ of production data with full GDPR compliance, enabling scalable enterprise analytics.

On the engineering side, I build automation that removes manual toil—like agentic workflows using Claude and GitHub webhooks, and an end-to-end microservices deployment framework with Terraform. I also implement production-ready reliability and observability using an Istio-powered service mesh, canary deployments, distributed tracing, and cluster-wide monitoring.

I care deeply about security and operational excellence, strengthening cloud security postures via networking isolation, AWS Client VPN, AWS WAF guardrails, and continuous threat detection with GuardDuty, Inspector, and Security Hub. I bring the same mindset to data pipelines and MLOps—shipping Airflow/DAG-driven ingestion and SageMaker-based ML workflows that reduce manual overhead and speed delivery.

Experience

Work history, roles, and key accomplishments

Current

Cloud Infrastructure Engineer

Current

Ownverse

Jul 2024 - Present (2 years)

Built agentic automation and infrastructure for microservices on AWS, using Terraform and Istio to enable faster deployments, canary releases, and cluster observability. Migrated 5TB+ of data to Redshift with GDPR-compliant hashing/sanitization and improved security by moving services to private subnets and restricting access via AWS Client VPN.

AWS Terraform Kubernetes Istio Kiali Jaeger Aurora Amazon Redshift RDS AWS WAF Microservices Observability GDPR Claude Caching Throttling

Multi-Cloud Data & DevOps

Data2bots

Mar 2023 - Jul 2024 (1 year 4 months)

Developed multi-cloud data pipelines using Airflow and Azure services, loading large datasets into Amazon Redshift, Azure Synapse, and visualizing results with Power BI. Implemented unified monitoring/alerting across AWS Glue, DMS, ECS, and Kubernetes, and built an AWS SageMaker MLOps pipeline orchestrated with n8n and AWS Bedrock.

AWS DevOps Engineer and DevSecOps

Krapani

Jan 2024 - May 2024 (4 months)

Designed and deployed secure AWS infrastructure using Terraform, GitHub Actions, and Kubernetes, covering core networking, compute, and security components. Strengthened CI/CD and runtime security with Snyk and SonarCode scanning plus continuous threat detection and automated remediation using GuardDuty, Inspector, and Security Hub.

Terraform GitHub Actions Kubernetes AWS WAF GuardDuty AWS Inspector AWS Security Snyk CI CD Security VPC Subnets ECR ECS DocumentDB Cloudfront Route 53 EKS Threat Detection Static Code Analysis

AWS Data Engineer and DevOps Engineer

Estate Intel

Jan 2022 - Feb 2023 (1 year 1 month)

Engineered an ML model for house price prediction and implemented an AWS SageMaker MLOps pipeline connected to Redshift for continuous retraining. Built a data scraping pipeline with Apache Airflow, ingesting from multiple sources into S3, transforming with AWS Glue, and loading into Redshift for BI reporting via Metabase.

AWS Sagemaker Amazon Redshift Machine Learning MLOps Apache Airflow S3 AWS Glue Data Engineering

Software Engineer (Data & DevOps)

NitHub

Mar 2019 - Dec 2021 (2 years 9 months)

Designed and operated an event-driven finance streaming system using AWS Kinesis Data Firehose, AWS Lambda, and AWS SNS to process real-time data and trigger fraud-related reports. Automated AWS Kinesis agent installation on EC2 instances with AWS Systems Manager and Ansible and built internal monitoring/diagnostics to reduce debugging time for ingestion issues.

AWS Firehose AWS Lambda Ansible AWS EC2 S3 Event Driven Architecture Monitoring Data Ingestion