Personal details

Divine-Hope E.

Based in: 🇳🇬 Nigeria

Timezone: Amsterdam (UTC+2)

Summary

As a Data Engineer with expertise in Python, SQL, Streaming, Data Modelling, and big data technologies, I specialize in building scalable and real-time data pipelines and data products, transforming complex data into clear, actionable insights. My proficiency extends to deploying machine learning models and creating RAG pipelines to leverage LLM capabilities, empowering businesses with data-driven decision-making tools to foster growth and efficiency.

Technical skills

Top 3 skills

Python・4 yrs SQL・5 yrs

Other skills

Airflow・3 yrs Google Cloud Platform・4 yrs Google BigQuery・4 yrs Terraform・1 yr Apache Kafka・2 yrs Data Modelling・4 yrs Data Warehouse・4 yrs DBT・3 yrs

Work Experience

Senior Data Engineer

Shara Inc | Dec 2022 - Present

Python

SQL

API

PostgreSQL

Google BigQuery

Terraform

Apache Airflow

DBT

Building scalable and real-time data pipelines for analytics and ML models.
Designed and Maintaining entire data platform while ensuring 99.999% uptime for the data products.

Senior Data Engineer

IOV LABS | Jan 2022 - Present

Python

SQL

MongoDB

Google BigQuery

Google Cloud Platform

Mixpanel

Apache Kafka

Airflow

Metabase

DBT

Debezium

Developed and optimized big data processing pipelines to handle large-scale datasets and support real-time analytics.
Designed and implemented robust DBT models to enable advanced analytical engineering and provide data-driven insights for the social media platform.
Created interactive and insightful visualizations using Tableau to present key performance indicators and trends to senior business leaders.
Developed and maintained APIs to serve data for moderation applications and post recommendations, improving user experience and content relevance on the platform.
Implemented MLOps best practices to automate, manage, and streamline the end-to-end machine learning lifecycle, ensuring consistent and reliable model deployments.
Monitored model performance post-deployment, ensuring accuracy and relevance, and initiated retraining cycles when necessary.
Collaborated with cross-functional teams to enhance data-driven decision-making processes, support platform optimization, and contribute to the continuous growth of the social media app.