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Data Engineer

4 months ago

United States Credit Suisse Full time $80,000 - $110,000 per year

Engineered and Automated ETL workflows using Apache Spark and Python, resulting in a 30% reduction in data processing time and improved data accuracy.
*Designed and implemented ETL processes using SQL to extract data from various sources, including transaction databases, online interactions, social media, and customer support systems.
*Led the development of a Comprehensive Customer Analytics Platform, utilizing SQL for data collection, integration, transformation, and analysis.
*Developed SQL queries and scripts for in-depth data analysis, calculating KPIs, and deriving actionable insights for stakeholders.
*Collaborated with teams to integrate SQL-based visualization tools like Tableau for creating interactive dashboards displaying customer behaviors, sales trends, and marketing campaign effectiveness.
*Implemented CI/CD for data pipelines using AWS Data Pipeline and Airflow, achieved a 20% reducing deployment time.
*Integrated Python with AWS Lambda for serverless data processing, decreasing infrastructure costs by 15%.
*Leveraged AWS Glue to automate ETL processes for daily sales data feeds, reducing processing time by approximately 50%.
*Built a Databricks to build a scalable data lake, ingesting and processing 2 terabytes of financial data, including historical market data, customer transactions, and risk assessments.
*Designed and Automated efficient data pipelines that parsed and stored raw data into partitioned Hive tables, improving data retrieval for reporting and analysis by 15%