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Afeez OlasunkanmiAO
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Afeez Olasunkanmi

@afeezolasunkanmi

Remote-ready Data Engineer specializing in scalable ETL, cloud data architectures.

Nigeria
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What I'm looking for

I seek remote-friendly roles building scalable data platforms and ETL/ELT pipelines, with strong collaboration, CI/CD, and opportunities to improve data quality and observability.

I am a remote-ready Data Engineer with hands-on experience designing and building scalable ETL/ELT pipelines, cloud-native architectures, and data warehouses using Python, SQL, Airflow, dbt, Snowflake, and Terraform.

I have delivered production-grade solutions that enforced data quality, improved pipeline observability, and automated deployments, including a telecom ELT platform and Wikipedia pageviews pipeline.

My work has reduced manual effort and reporting latency significantly — examples include cutting manual input by 60%, improving query performance by 40%, and reducing reporting latency by 40% through lakehouse implementations and optimizations.

I collaborate effectively with cross-functional and global teams, apply strong analytical and problem-solving skills, and focus on continuous improvement to deliver actionable analytics and reliable data infrastructure.

Experience

Work history, roles, and key accomplishments

GL

Data Engineer/Scientist

Grand Bequest / Doheney Services Ltd

Feb 2025 - Aug 2025 (6 months)

Built automated ETL pipelines with Azure Data Factory to centralize APIs, CSVs and PostgreSQL apps into an Azure-hosted PostgreSQL + PostGIS warehouse, cutting manual input by 60% and improving query performance through indexing and partitioning by 40%.

GB

Data Engineer/Scientist

Grand Bequest

Feb 2025 - Aug 2025 (6 months)

Built automated ETL pipelines with Azure Data Factory to centralize APIs, CSVs, and PostgreSQL apps into an Azure-hosted PostgreSQL/PostGIS warehouse, cutting manual input by 60% and improving SQL retrieval performance by 40%.

HA

Data Engineer Intern

Hamoye

Sep 2023 - Dec 2023 (3 months)

Designed scalable data pipelines and processed large datasets using Apache Spark on Azure and GCP; deployed ETL workflows with Docker and Kubernetes, reducing reporting turnaround time by 20%.

Education

Degrees, certifications, and relevant coursework

EU

Esae Benin University

Bachelor of Science, Computer Science

2022 - 2022

Completed a B.Sc. in Computer Science in 2022 with coursework covering core programming and computing concepts.

FI

Federal School of Statistics, Ibadan

Higher National Diploma, Computer Science

2019 - 2019

Completed an HND in Computer Science in 2019 focusing on applied computing and statistical methods.

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