Data Engineer with 5+ years of experience in Data Engineering, Data Pipeline Design, Development, and Implementation. Skilled in Spark, Scala, Python, Azure, AWS, ETL processes, and data visualization tools like Tableau and Power BI. Strong background in SDLC, Agile methodologies, and data modeling.
Bank Data Ingestion and Analysis System, Emigrant Bank:
Developed an automated ETL pipeline using Azure Data Factory and Databricks for ingesting and processing financial data from various sources., Implemented Spark applications for data transformation and aggregation, reducing processing times by 25%., Designed and maintained Azure Data Factory pipelines, improving data ingestion efficiency by 20%., Utilized Apache Airflow to schedule and monitor ETL jobs, reducing manual workload by 30%.
Real-Time Financial Analytics Platform, Wintrust Financial:
Migrated legacy data processing jobs to Spark, resulting in a 25% reduction in infrastructure costs., Built real-time analytics solutions with Spark Streaming, enabling faster decision-making and a 20% increase in operational efficiency., Developed cost-effective data solutions using Azure services, saving the company 15% on data storage expenses., Created interactive reports and dashboards using Tableau and Power BI for financial data analysis.