Ayokunle Adeniyi

Data Engineer & Analytics Specialist

Building scalable data pipelines and infrastructure that transform raw data into actionable insights. Specializing in real-time processing, cloud architecture, and modern data stack implementation.

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90%
Cost Reduction
Pipeline optimisation through high-performance streaming architecture.
99.99%
System Uptime
Maintained mission-critical banking and production data systems.
3TB+
Data Replicated Weekly
Real-time replication and high-volume banking transaction systems.
50+
Database Servers Automated
Monitoring and reporting automation across enterprise infrastructure.
100+
Stakeholders Supported
Enterprise reporting strategy enabling cross-team decision making.
25%
Faster System Health Monitoring
Automated reporting and operational improvements.
90%
Cost Reduction
Pipeline optimisation through high-performance streaming architecture.
99.99%
System Uptime
Maintained mission-critical banking and production data systems.
3TB+
Data Replicated Weekly
Real-time replication and high-volume banking transaction systems.
50+
Database Servers Automated
Monitoring and reporting automation across enterprise infrastructure.
100+
Stakeholders Supported
Enterprise reporting strategy enabling cross-team decision making.
25%
Faster System Health Monitoring
Automated reporting and operational improvements.
About Me

I'm a passionate data engineer with over 5 years of experience building robust data infrastructure for companies ranging from finance to gaming industries. My work focuses on creating efficient, scalable solutions that enable data-driven decision making.

I specialize in designing and implementing end-to-end data solutions, real-time streaming architectures, and cloud-based data platforms. I'm particularly interested in leveraging technologies like distributed computing, data lakes, databases and orchestration tools to solve complex data challenges.

Technical Expertise
Python
Advanced SQL
Data Pipeline Architecture
Distributed Data Processing
Real-Time Data Streaming
Cloud Data Platforms (GCP/AWS)
Infrastructure as Code
Workflow Orchestration (Airflow)
Data Modelling & Warehousing
Observability & Data Reliability
Featured Projects
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Scalable Workflow Orchestration: Advanced Data Pipelines with Apache Airflow
Scalable Workflow Orchestration: Advanced Data Pipelines with Apache Airflow

The project titled "Scalable Workflow Orchestration: Advanced Data Pipelines with Apache Airflow" serves as a comprehensive laboratory for mastering complex workflow orchestration, task scheduling, and DAG creation using Apache Airflow. It demonstrates best practices in pipeline reliability, featuring custom error handling, automated retries, and dependency management to showcase a production-grade environment.

Apache AirflowPythonDocker
+3 more
Mar 2026
Recent Articles
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Learnings from Pursuing High Data Quality: A Reflective Piece
Mar 05, 2026 4 min read
Learnings from Pursuing High Data Quality: A Reflective Piece

Cover Photo by Claudio Schwarz on Unsplash Before diving in, let us discuss what data quality...

datalearningdiscussdatascience
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The evolution of the Modern Data Stack: From RDBMS to the LakeHouse
Jan 13, 2026 11 min read
The evolution of the Modern Data Stack: From RDBMS to the LakeHouse

This post aims to provide a historical picture of the evolution of the typical data stack over a span...

learningdiscussarchitecturedataengineering
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Data Compression, Types and Techniques in Big Data
Feb 25, 2025 11 min read
Data Compression, Types and Techniques in Big Data

Cover Photo by Tim Mossholder on Unsplash Introduction This article will discuss...

datalearningdiscussdatascience
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Let's Work Together

I'm always interested in hearing about new opportunities and challenging data engineering problems. Feel free to reach out!

Email Me GitHub