Summary
Christian I is a proficient Data Engineer with a robust background in developing, deploying, and optimizing data infrastructures and analytics solutions. With recent experience at Interswitch Group, he has demonstrated expertise in architecting Apache Spark clusters, configuring Kubernetes for large-scale data operations, and enhancing data processing workflows with technologies like Apache Airflow and Dremio. His tenure at Microsoft as a Data Scientist/Engineer intern allowed him to refine his skills in machine learning with Azure ML and data modeling, contributing to significant projects like the development of SaaS metrics for customer retention. At the Federal Airports Authority of Nigeria, he honed his analytical skills, managing and analyzing vast datasets to drive strategic decisions. Christian's technical toolkit is comprehensive, encompassing Python, SQL, Bash, Terraform, and various cloud and DevOps technologies. His academic foundation in Engineering from Landmark University further solidifies his technical prowess, making him a valuable asset for data-driven enterprises seeking to leverage data for strategic advantage.
Meet Christian I.
Assessment Scores
Great score on Implement LRU Cache Algorithm, Difficulty Medium
Great score on Redesigning an ETL Pipeline for Enhanced Performance, Difficulty Medium
Great score on Optimize Data Storage Strategies for Hybrid Cloud Environments, Difficulty Hard
Great score on Reverse Digits of a 32-bit Integer, Difficulty Easy
Great score on Word Search in Grid, Difficulty Medium
Great score on Validate Parentheses in a String, Difficulty Hard
Experience
Interswitch Group
Data Engineer
Full-Time
Jul 2025 — Present
Architected and deployed a 10-node Apache Spark Standalone cluster with high availability
Provisioned and configured 10 Linux production servers for a MapR-based data lake environment
Deployed and configured Dremio on an on-premises Kubernetes cluster supporting 700+ users and 80TB of enterprise data, enabling scalable, high-availability analytics.
Converted 10+ legacy SSIS pipelines into automated Apache Spark workflows orchestrated with Apache Airflow, reducing processing time by 45% and eliminating manual intervention.
Setup and secured Apache Airflow with Azure SSO, enabling centralized identity management.
Technologies:
Airflow
Terraform
Azure
SSIS
Spark
Dremio
Kubernetes
ZooKeeper
Python
Bash
Data Dog
Grafana
Dremio
SQL
Microsoft
Data Scientist/Engineer (Intern)
Intern
Oct 2023 — Sep 2024
Developed highly accurate forecasting models with Azure ML
Developed and implemented Object-Oriented and functional programming concepts
Collaborated on the development of BrachOps during the Microsoft Global Hackathon
Developed a SaaS Customer Lifetime Value (CLV) metric, enabling data-driven customer retention and revenue optimization.
Technologies:
Azure ML
Synapse
Data Factory
Power BI
C#
C++
TypeScript
Node.js
Python
Kubernetes
Bash
T-SQL
FAAN(Federal Airports Authority of Nigeria)
Data Analyst
Full-Time
Aug 2022 — May 2023
Gathered, cleaned, and maintained large datasets from various flight records
Conducted detailed data analysis to identify trends, patterns, and insights
Partnered with cross-functional teams to develop data-driven strategies
Technologies:
Microsoft Excel
Python
SQL
Projects
An end-to-end data engineering pipeline that extracts name, symbol, and stock data for multiple companies using yfinance, stores the raw data in Azure Data Lake, transforms it with PySpark, and loads it into Azure SQL Server.
Implemented an Xception model (ImageNet) for clothing classification (e.g., pants, hats, shirts) using TensorFlow Serving, gRPC, protobuf, Docker, and Kubernetes.
Education
Bachelor of Engineering (B.Eng.)
2016 - 2021
Landmark University, Omu-Aran, Kwara, Nigeria
Nigeria
