Data Engineer specializing in scalable data integration and modern analytics architectures, with proficiency in Talend
Cloud Data Fabric, Talend Open Studio, DBT, Airflow, Python, and SQL.
Hey, I’m Wellspring Praise, a Data Engineer with a passion for building automated data systems that actually work. I specialize in designing and deploying scalable data integration workflows using Talend (Cloud & Open Studio), Python, DBT, Airflow, and SQL. My core focus is turning raw, messy data into clean, structured, and insightful systems that fuel analytics, compliance, and business intelligence.
I’ve spent the past few years at Adroit Solutions Ltd, engineering end-to-end ETL pipelines for major financial institutions like Keystone Bank, Imperial Homes Mortgage Bank, and SunTrust Bank. My work focused on automating compliance reporting (CTR, FTR, SAR, STR) for Nigeria’s NFIU and CBN, eliminating manual data entry, ensuring 100% data accuracy, and maintaining consistent audit readiness for banks.
I’m big on automation and reliability. I’ve built pipelines that recover missed data files automatically (T/T-1 logic), validate quality at every stage, and integrate seamlessly with Windows Task Scheduler and Talend Management Console for hands-free orchestration. On one project, I cut SLA failures by nearly 30% and reduced regulatory data rejections by more than half.
Before that, I worked with EHealth4Everyone, where I automated health data cleaning and validation using Python, built dashboards in Tableau and Power BI, and standardized reporting workflows that made health insights easier to act on. At Hamoye, I led data science projects, such as Educational Infrastructure, where I analyzed regional school data to identify infrastructure gaps and recommend policy interventions. I also built and deployed a predictive web app for diabetes detection using Flask and Scikit-learn.
My tech stack spans:
ETL/ELT: Talend, dbt, Kafka, Airbyte
Orchestration: Airflow, Prefect
Databases: MySQL, MSSQL, Postgres, Snowflake
Analytics & Visualization: Power BI, Tableau, Google Studio
Programming: Python, SQL
When I’m not writing data pipelines or tuning SQL queries, I’m probably learning about new data engineering frameworks, improving my visualization skills, or experimenting with machine learning models. I believe data should tell stories, not just fill dashboards.
I value clarity, consistency, and systems that scale. Whether it’s regulatory reporting for banks, analytics for health projects, or building end-to-end data workflows for clients, I bring a mix of technical depth, process discipline, and creativity to every project.
If you’re looking for a data engineer who can own your data processes from extraction to automation, I’m your guy.