Timo Digital Bank by BVBank
Data Engineer
— Present
Building batch pipelines, lakehouse analytics and AI-assisted internal tools across the platform and operations stack.
- Built batch pipelines syncing MariaDB into a landing–curated–analytics lakehouse with Amazon EMR and AWS Glue, masking PII before curated data and using dbt for analytics-ready models.
- Built a FastMCP server powering conversational analytics in Slack, grounded in dbt docs, Lightdash dashboards and semantic-layer metadata for self-service discovery.
- Automated MongoDB backup validation and general-ledger lookups with Python and Airflow, eliminating recurring manual effort.
- Built GenBI dashboards and monitoring for Airflow, Athena and S3 with Lightdash and dbt, and migrated Timo Metrics from Loki and Grafana to SigNoz.
- Delivered Tracking247 for the Customer team: a Streamlit app with Airflow pipelines syncing shipment status into MongoDB, centralising updates and cutting manual follow-up.