Emmanuella Martey

Data Pipelines & Containerization: Packaged and deployed containerized data and web applications using Docker (node:20-alpine), cutting image overhead by 45% and implementing automated CI/CD pipelines via GitHub Actions to streamline release cycles by 60%.

Cloud

Infrastructure (IaC): Provisioned scalable AWS and GCP infrastructure utilizing Terraform and CloudFormation, managing configuration via Ansible to support automated, environment-agnostic data processing runtimes.

High Availability & Storage: Engineered multi-replica Kubernetes clusters; configured automated disaster recovery, lifecycle policies, and cross-region snapshot replication for Amazon RDS instances and S3 storage buckets targeting <15-minute RTO/RPO.

Trainee Engineer at Cloud & Data Infrastructure Deployment (2026-04 – 2026-06)

• Data Pipelines & Containerization: Packaged and deployed containerized data and web applications using Docker (node:20-alpine), cutting image overhead by 45% and implementing automated CI/CD pipelines via GitHub Actions to streamline release cycles by 60%.
• Cloud Infrastructure (IaC): Provisioned scalable AWS and GCP infrastructure utilizing Terraform and CloudFormation, managing configuration via Ansible to support automated, environment-agnostic data processing runtimes.
• High Availability & Storage: Engineered multi-replica Kubernetes clusters; configured automated disaster recovery, lifecycle policies, and cross-region snapshot replication for Amazon RDS instances and S3 storage buckets targeting <15-minute RTO/RPO.
• Monitoring & Workflow Automation: Scripted operational health checks in Bash/Shell, reducing administrative effort by 70%, and established real-time metrics tracking using Prometheus, Grafana, and AWS CloudWatch to increase fault visibility by 40%.

Data Analyst Intern at Namibra (2025-05 – 2025-06)

• ETL & SQL Optimization: Designed and executed complex SQL queries across large datasets (>50,000 rows), executing data cleaning, transformation, and aggregation pipelines to accelerate stakeholder decision-making cycles by 25%.
• Automated Data Workflows: Built automated internal reporting workflows and standard operating documentation, reducing pipeline execution latency and team onboarding time by 40%.
• BI & Data Analytics: Developed structured KPI dashboards tracking project performance metrics, providing executive leadership with actionable growth insights.

Data & Administrative Intern at New Juaben Municipal Assembly (2024-09 – 2024-10)

• Data Ingestion & Cleaning: Extracted, cleaned, and structured municipal datasets using Python and Excel to support automated quarterly reporting and departmental resource allocation decisions.
• Database & File Architecture: Digitized and overhauled administrative database records systems, improving query retrieval efficiency by 50%.

Finance & Investment Intern at Volta River Authority (VRA) (2023-10 – 2023-11)

• Financial Data Processing: Processed and validated large-scale financial transaction datasets using advanced Excel data transformations and mathematical modeling to support quarterly forecasting.

Master of Science in Financial Engineering – WorldQuant University (2026-04)

Bachelor of Science in Economics – University of Cape Coast (2021-01 – 2025-08)

Associate Degree in Computer Science – University of the People (2023-04 – 2025-10)