Professional Overview
I'm a remote Data Engineer with hands-on Snowflake, dbt, Airflow, and Spark/Python. At adesso (client: Booking.com), I led Hadoop-to-Snowflake pipeline migrations using Spark and dbt, orchestration with Airflow, Collibra for metadata governance, and Spark performance tuning that reduced job time by about 30%; I also mentor junior engineers.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Executed end-to-end migration of data pipelines from Hadoop to Snowflake
- Guided junior engineers through onboarding and development
- Optimized pipelines through Spark configuration tuning (reduced job time by 30%)
- Spark and dbt, orchestrated via Airflow; implemented Collibra for metadata
- Translated complex technical improvements into clear, value-driven narratives fo
Key Achievements / KPIs
- Spark configuration tuning (reduced job time by 30%)
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built scalable ETL pipelines in Snowflake with dbt and Spark
- Designed dimensional models using star-schema for analytical workloads.
- Applied Snowflake security best practices: row/column-level access control
- RBAC, data masking, and object-level permissions.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed a search engine for an e-commerce platform using the Elastic Stack
- Created a data bus for near-real-time data fetching using Kafka/Nifi
- Built scalable ETL pipelines in Snowflake with dbt and Spark
Education
Field of Study: Computer Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
