Open to opportunities

Joshua Onome

@joshuaonome

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Data engineer skilled in Azure, Databricks, and building scalable ETL and analytics solutions.

Nigeria

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What I'm looking for

I am seeking a data engineering role focused on building scalable ETL, cloud data warehouses, and real-time analytics with collaborative teams and growth opportunities.

I am a data engineer focused on designing, implementing, and optimizing data infrastructure to deliver robust, scalable solutions. I have built parameterized Azure Data Factory pipelines, Databricks-based ETL flows, and Microsoft Fabric Lakehouse architectures that support real-time Power BI reporting.

My work has reduced pipeline latency and transformation times (typical improvements 20–30%), converted business data into dimensional star schemas to accelerate dashboard delivery, and improved data accuracy through validation and monitoring. I have experience integrating APIs, PostgreSQL, SQL Server, and cloud storage into consolidated data warehouses using Medallion patterns and Delta tables.

I collaborate with global teams, present technical solutions to customers and leadership, and continuously adapt to new tools and architectures. I hold multiple Microsoft and industry credentials and am committed to delivering actionable insights that drive business decisions.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Snapnet

Jan 2025 - Present (1 year)

Engineered reusable Azure Data Factory pipelines and API-based ingestion into Microsoft Fabric Lakehouse, reducing operational delays by 20% and accelerating dashboard development by 20% to provide near real-time leadership insights.

Azure Data Factory Microsoft Fabric Databricks Delta Lake SQL ETL Data Ingestion Data Modeling Power BI

Data Analytics Engineer

Teknowledge

Dec 2022 - Dec 2025 (3 years)

Built reusable parameterized pipelines and a Microsoft Fabric Lakehouse to enable real-time Power BI dashboards, reducing data delivery latency by 30% and cutting report generation time by 50% across multiple international sites.

Microsoft Fabric Azure Data Factory Databricks Spark SQL ETL Power BI Data Modeling

Data Engineer & Reporting Analyst

ICAN

Jun 2021 - Jul 2023 (2 years 1 month)

Consolidated multi-source data and built a Medallion architecture using Azure Databricks and Spark, improving report generation efficiency by 30% and reducing data errors by 40%.

Databricks Spark PostgreSQL SQL Server Data Warehousing ETL Delta Lake Data Validation API Integration

Business Analyst

Teknowledge

Jun 2019 - Dec 2022 (3 years 6 months)

Developed and maintained Power BI dashboards and automated reporting, reducing data discrepancies by 40% and eliminating 10 hours of weekly manual work to support international stakeholders.

Power BI Data Cleaning SQL Stakeholder Management Data Validation Dashboarding