March 2024 — Present
Junior Data Engineer
Lately, Everything Needs Analytics (LENA)
- Designed and developed production-grade ELT pipelines using Databricks, PySpark, SQL, dbt, Snowflake, and Matillion, delivering scalable datasets for analytics and operational applications.
- Built an end-to-end Medallion Architecture pipeline from Snowflake to Databricks to Aerospike, implementing Bronze and Silver layers and serving curated data through a high-performance key-value store for downstream systems.
- Automated business-critical reporting pipelines, eliminating manual data preparation and enabling reliable scheduled refreshes for dashboards consumed by business stakeholders.
- Partnered directly with clients, business stakeholders, and cross-functional teams to translate business requirements into scalable data models, pipeline architectures, and production-ready solutions.
- Co-owned production data pipelines from solution design through deployment, contributing to architecture discussions, code reviews, testing, and Git-based release workflows.
- Python
- SQL
- dbt
- Databricks
- Snowflake
