Highly motivated and detail-oriented Data Engineer with a passion for using data to optimize business performance and improve customer experience. Proficient in data engineering practices, including data mining, data modeling, and ETL processes. Skilled in programming languages such as Python and SQL, with expertise in data analytics and visualization tools like Tableau and Power BI.
Developed an end-to-end data pipeline to improve the processing and analysis of customer data. Utilized Python and Apache Spark for data ingestion, cleaning, and transformation, integrating multiple data sources into a centralized data warehouse. Leveraged SQL for data querying and used Airflow for workflow automation. Created Tableau dashboards to provide actionable customer insights, facilitating data-driven decision-making. This project resulted in a 80% increase in data processing efficiency and enhanced the accuracy of customer analytics.