Data Engineer & Analytics Specialist

Victor OketchSabare

Building scalable data infrastructure that processes 0TB+ of data daily

Transforming raw data into actionable insights through modern data engineering practices, cloud-native architectures, and real-time processing systems.

Connect with me:
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Proven Track Record

Delivering data solutions that drive business growth and innovation across industries

0TB+

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Across multiple industries

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Projects Completed

Successful data solutions

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Reliable infrastructure

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Client Satisfaction

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Years Experience
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Project Success Rate

Explore my latest thoughts on data engineering, architecture, and technology trends.

Building a High-Performance Data Lakehouse with Delta Lake
3 min read

Building a High-Performance Data Lakehouse with Delta Lake

Step-by-step guide to designing and optimizing a scalable Data Lakehouse architecture using Delta Lake, Apache Spark, and Kubernetes.

Delta Lake
Data Lakehouse
Building Real-Time Data Pipelines with Kafka and Spark
2 min read

Building Real-Time Data Pipelines with Kafka and Spark

Learn how to design and implement scalable real-time data pipelines using Apache Kafka and Spark Streaming for high-throughput event processing.

Apache Kafka
Spark Streaming
Implementing a Data Mesh Architecture for Enterprise Scale
2 min read

Implementing a Data Mesh Architecture for Enterprise Scale

Explore how data mesh architecture can transform your organization's approach to data, enabling domain-oriented ownership and self-service analytics.

Data Mesh
Data Architecture

A showcase of data engineering solutions and platforms I've architected and built.

Detecting & Classifying Fraudulent Ethereum Accounts

Detecting & Classifying Fraudulent Ethereum Accounts

Developed a machine-learning framework combining supervised and unsupervised methods to detect fraudulent Ethereum accounts with >85% accuracy and <5% false positives, deployed as an interactive Streamlit app.

Python
Scikit-learn
TensorFlow
+7
Real-Time Analytics Platform

Real-Time Analytics Platform

Built a comprehensive real-time analytics platform processing 10M+ events per day using Kafka, Spark Streaming, and ClickHouse for sub-second query performance.

Apache Kafka
Spark Streaming
ClickHouse
+5
Client Success

Trusted by Industry Leaders

See how I've helped companies transform their data infrastructure and drive business growth

SC

Sarah Chen

Real-time Data Pipeline

VP of Engineering

TechFlow SolutionsTechFlow Solutions

Working with this data engineer transformed our entire data infrastructure. They built a scalable pipeline that processes 10TB+ daily and reduced our processing time by 75%.

Key Results:

75% faster processing
10TB+ daily capacity
99.9% uptime
MR

Michael Rodriguez

AWS Data Warehouse Migration

CTO

DataDriven CorpDataDriven Corp

Exceptional work on our data warehouse migration to AWS. The new architecture handles our growing data needs perfectly, and the cost optimization strategies saved us 40% on cloud expenses.

Key Results:

40% cost reduction
5x better performance
Zero downtime migration