Analytics Engineer
I work across data engineering and analytics in regulated financial environments, building reliable pipelines and delivering structured data solutions that support risk, compliance, and commercial teams. My focus is on production-grade data workflows, data quality, and translating complex business requirements into scalable, maintainable systems.
- Designing and maintaining Airflow DAGs for ingestion and transformation
- Working with Snowflake for data warehousing and analytical reporting
- Building and troubleshooting StreamSets pipelines for large-scale data loads
- Using PySpark and Scala for distributed data processing
- Managing schema changes, data validation, and quality controls
- Supporting time-sensitive regulatory and financial crime datasets
Languages: Python, SQL, Scala
Big Data & Processing: PySpark, Spark, StreamSets
Orchestration: Apache Airflow
Data Platforms: Snowflake, AWS S3
Engineering: Git, CI/CD, Docker
Analytics & Visualisation: Pandas, Tableau
- Pipeline reliability and observability
- Data quality frameworks in regulated environments
- Scalable transformation logic
- Interpretable analytics in risk contexts
LinkedIn: www.linkedin.com/in/jammaladeyemi