At LuxDevHQ, I design and deploy production ETL/ELT pipelines that bring data from APIs, databases, and cloud storage into centralised data warehouses. I use Python, SQL, and Apache Airflow, and maintain 99% uptime through CloudWatch monitoring.
I work with PostgreSQL, Oracle, and MySQL, including query optimisation and schema design. Indexing and query restructuring reduced query latency by 30%.
I built dbt transformation models and automated data quality tests that achieved 99% data accuracy across production data flows. My dbt workflows also improved data processing efficiency by 45%.
I implement pipelines on AWS and GCP, using Docker and Terraform for reproducible deployments. I’ve also built vector database pipelines and RAG systems integrating LLM-powered tools to automate data workflows.
