Data Engineer

Open to part-time

Bio

Christian I is a Data Engineer with several years of experience in developing, deploying, and optimizing data infrastructures and analytics solutions. He primarily works with technologies such as Apache Spark, Kubernetes, Apache Airflow, and Dremio to build scalable data processing workflows and analytics platforms. Christian is adept at architecting high-availability systems and automating data pipelines, leveraging tools like Terraform and Azure for cloud and DevOps integration. At Interswitch Group, Christian architected and deployed a 10-node Apache Spark cluster and converted legacy SSIS pipelines into automated workflows, reducing processing time by 45%. During his internship at Microsoft, he contributed to the development of forecasting models with Azure ML and helped design a SaaS Customer Lifetime Value metric. Christian holds a Bachelor of Engineering degree from Landmark University. He is well-suited for roles that involve building and optimizing large-scale data systems and analytics solutions.

Expertise

KubernetesPythonSQLBashTerraformApache AirflowAzurePySpark

Video Intro

Assessments

General Coding and Video Assessment

(87/100)

Implement LRU Cache AlgorithmMedium
Redesigning an ETL Pipeline for Enhanced PerformanceMedium
Optimize Data Storage Strategies for Hybrid Cloud EnvironmentsHard

Projects

Stock Pipeline

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.

Clothing Classification

Implemented an Xception model (ImageNet) for clothing classification (e.g., pants, hats, shirts) using TensorFlow Serving, gRPC, protobuf, Docker, and Kubernetes.

Experience

Data Engineer
Interswitch GroupJul 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.
AirflowTerraformAzureSSISSparkDremioKubernetesZooKeeperPythonBashData DogGrafanaDremioSQL
Data Scientist/Engineer (Intern)
MicrosoftOct 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.
Azure MLSynapseData FactoryPower BIC#C++TypeScriptNode.jsPythonKubernetesBashT-SQL
Data Analyst
FAAN(Federal Airports Authority of Nigeria)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
Microsoft ExcelPythonSQL