Sr Data Engineer
CurrentAs a Senior Data Engineer with 11 years of hands-on experience in data architecture, data pipelines, and analytics, I specialize in designing, building, and optimizing data solutions that empower organizations to make data-driven decisions. With a deep knowledge of cloud platforms (AWS, Azure, GCP) and big data technologies, I am passionate about transforming raw data into actionable insights that drive business growth.-> Created real-time processing jobs with Spark Streaming, Kafka,… Show more As a Senior Data Engineer with 11 years of hands-on experience in data architecture, data pipelines, and analytics, I specialize in designing, building, and optimizing data solutions that empower organizations to make data-driven decisions. With a deep knowledge of cloud platforms (AWS, Azure, GCP) and big data technologies, I am passionate about transforming raw data into actionable insights that drive business growth.-> Created real-time processing jobs with Spark Streaming, Kafka, and Scala, and stored data in Cassandra.-> Python, PySpark, and Spark programming language experience for data ingestion.-> Developed Optimized ETL Pipelines using Talend and Spark for batch and streaming data, improving data parallelism and reducing processing time by 30%, meeting the performance requirements of high-throughput systems. -> Created and Orchestrated Complex Workflows with Apache Airflow, leveraging DAGs to manage ETL processes and integrating with AWS Lambda for resource-triggered events.-> Enhanced Query Performance in Hive through bucketing and partitioning, coupled with Spark task optimization, resulting in faster data processing and efficient resource usage.-> Set Up Real-Time Crediting Data Loads using Kafka, Airflow, Python, and Spark, enabling near-instant data updates for critical financial systems. ->Created data integration and technical solutions for Azure Data Lake Analytics, Azure Data Lake Storage, Azure Data Factory, Azure SQL databases, and Azure SQL Data Warehouse for providing analytics. Show less