Data Engineer

Open to full-time

Bio

Mairo G is a Data Engineer with several years of experience in cloud infrastructure, data engineering, and backend development. Mairo utilizes technologies such as AWS, Terraform, Python, Docker, and Apache Airflow to build secure, scalable cloud environments and data pipelines. He is adept at designing Infrastructure-as-Code, implementing CI/CD pipelines, and deploying containerized applications, ensuring efficient data processing and application deployment. At BALANX-BIO, Mairo implemented AWS networking components and security measures, enhancing platform monitoring and secure access. At CHAIN CO-OP, he automated over 20 ETL/ELT jobs, improving job reliability and reducing manual intervention by over 70%. His work on a real-time crypto market analytics platform demonstrates his capability in handling live data streams using Kafka and Spark. Mairo holds a Bachelor's degree from the National Open University of Nigeria and a Diploma in Data Engineering from ALTSCHOOL AFRICA. He is well-suited for roles that require building and optimizing data-driven systems in cloud environments.

Expertise

PythonAWSTerraformKubernetesNode.jsJavaScriptSQLCSSHTMLMongoDBKafkaApache AirflowGCPGoFast API

Assessments

General Coding and Video Assessment

(90/100)

Find Indices of Two Numbers That Add Up to TargetEasy
Design an ETL Pipeline for Healthcare Data IntegrationHard
Design a Secure Data Storage System on AWS S3Easy

Projects

Data Engineer + Cloud Infrastructure
BALANX-BIO· AI/MLFeb 2026 — Present
- Built Infrastructure-as-Code using Terraform to provision AWS platform infrastructure.
- Implemented AWS networking components including VPCs, subnets, route tables, internet gateways, NAT gateways, and security groups.
- Designed IAM roles and permission policies to enable secure access for platform services and engineering teams.
- Implemented observability infrastructure using CloudWatch dashboards, log groups, and metric alarms for platform monitoring.
- Created an EC2 onboarding and connection guide documenting the process for engineers to securely access and manage EC2 instances.
TerraformPythonAWSCloudWatch
Web Developer + System Engineer Internship
GAO TEK INCAug 2025 — Dec 2025
- Supported application availability and reliability by setting up and maintaining local development environments using XAMPP, troubleshooting configuration issues, and ensuring stable application operation during development and testing.
- Assisted with system maintenance tasks including configuration changes, updates, and validation of application behavior.
- Monitored application behavior and user-facing functionality during development, identifying issues early and collaborating with team members to troubleshoot and resolve defects efficiently.
- Contributed to documentation of setup procedures, configuration steps, and troubleshooting guidelines to support team operations.
- Built and customized forms and UI components using plugins, shortcodes, and CSS.
HTMLCSSXAMPPJavascriptNodejs
Data Engineer
FIRE FC PREVENTIONApr 2024 — May 2025
- Designed and managed data pipelines that collect, process and analyze data from fire safety systems.
- Managed AWS infrastructure including S3, Lambda, and EC2 for scalable workloads.
- Created CI/CD pipelines with GitHub Actions for seamless deployments.
- Developed data models and implemented storage solutions to support analytics for fire risk assessments, maintenance schedules and incident reporting.
- Created and tested frameworks to validate the performance and reliability of data-driven solutions, including machine learning models.
PythonAWSCI/CDData Pipelines
Junior Data Engineer
CHAIN CO-OPJul 2023 — Mar 2024
- Automated 20+ ETL/ELT jobs using Airflow and GCP (BigQuery, GCS, Pub/Sub).
- Improved job reliability and reduced manual intervention by over 70%.
- Modeled analytics-ready data marts with dbt, consolidating data from 7+ sources.
dbtApache AirflowData VisualizationGcpData ModelingPub/SubDockerkafka
Data Engineer/MLOps Intern
HAMOYE HQMay 2023 — Sep 2023
- Developed data pipelines with Python/SQL, improving accuracy by 15% and processing efficiency by 50%.
- Deployed containerized ML workloads in Kubernetes and Docker, supporting reproducibility and scalable inference.
- Contributed to ML models for electrification prediction (95% accuracy), enabling better business resource allocation.
- Manage and optimize databases to ensure high performance, availability, and reliability.
Machine LearningPythonSqlDockerkubernetesMongoDb
Backend Developer
HNG TechMar 2026 — Jun 2026
- Designed and implemented RESTful API endpoints for booking management
- Built authentication system with email-only signup, OTP verification, JWT token issuance and refresh, and UUID-based user identity using PostgreSQL migrations
- Developed admin dashboard APIs for managing clients, trainers, subscriptions, transactions, and revenue snapshots, enabling full platform visibility for operations teams
- Implemented trainer-facing features including profile editing, availability toggling, soft delete, password reset, and client list retrieval
- Integrated Resend email service for transactional emails — OTP delivery, session reminders, trainer setup emails — with log redaction to protect sensitive data
- Contributed to subscription and payments infrastructure, including subscription plan management, active subscription tracking, and session platform support with database migration handling
GOGinDockerPostgreSQJWTSwagger/OpenAPIRedis