High-Volume Data Batch Processing System

As a Senior Data Engineer, I led the development of a high-volume data batch processing system for a premier U.S. retail company. This system managed millions of data events daily, ensuring seamless operation and service efficiency for the food delivery platform.

Languages & Tools: Python, Apache Airflow, Snowflake, SQL, NoSQL, Docker, Bash, GitHub, ETL, API, Swagger, Grafana, Cassandrar

A complex batch processing system for a premier U.S. retail company. This system was designed to handle and process millions of data events daily. It was crucial in managing vast volumes of transactional and customer data, ensuring seamless operation and service efficiency for the food delivery platform.

Leadership: Led the development and optimization of the batch processing system, which is crucial for handling extensive data workloads.

Optimization: Acted as a technical mentor, guiding the team in complex data processing tasks and fostering skill development.

Automation: Utilized Airflow and Python to manage and automate the processing of hundreds of millions of events each day.

Scalability: Implemented Snowflake for data warehousing, enhancing the system’s scalability and performance.

Growth: Played a vital role in the technical growth of the team, emphasizing skill enhancement in data processing and system optimization.