I’m Somto, a Data Engineer building reliable pipelines and analytics-ready platforms across healthcare, financial and business domains.
Selected work
A resilient public-health data platform designed to preserve trusted records through unreliable connectivity and recovery scenarios.
Late, duplicated, malformed and interrupted health/climate data.
Validation, retries, checkpoint deduplication, DLQ routing and PostgreSQL storage.
An end-to-end Databricks pipeline moving raw banking transactions through Bronze, Silver and Gold into validated analytics-ready tables.
Large raw transaction data required repeatable ingestion, cleaning and modelling.
PySpark, Delta tables, medallion architecture, workflow orchestration and automated checks.
About
I build data systems that turn raw, inconsistent inputs into trusted datasets for analytics and decision-making. My work spans healthcare and financial/business data, with the engineering principles staying consistent: quality, observability, maintainability and clear architecture.
This portfolio is intentionally curated. Each case study explains the problem, the engineering decisions and the result; GitHub holds the implementation detail.
Technical toolkit
Python · SQL · PySpark · Apache Spark · ETL/ELT · Dimensional modelling
Databricks · Delta Lake · Unity Catalog · PostgreSQL · Apache Airflow
AWS · Microsoft Azure · Google Cloud Platform
Git · GitHub · Data quality · Workflow orchestration · Testing · Documentation
Contact
I’m open to data engineering opportunities across healthcare, financial services and other data-driven businesses.