Having done numerous projects in the field of data engineering, my interest in working as a data engineer has increased exponentially. I believe that my aspirations to delve deeper will mutually benefit all. Seeking work in fields of data engineering, ETL, Big data and, Cloud Technologies• Experience in building pipelines using python and the subsequent trigger notifications for Cadenz Customer Profiling.• Majorly skilled in different Cloud Stack, Big data Technologies, Python, ETL, Building pipelines, Customer data analytics, including customer segmentation, behavioral and direct marketing strategies.• Demonstrated business intelligence and attention to detail.• Developed the feature to automatically on-board the new attributes in Cadenz User Profiling and the subsequent trigger notifications using SNS.• Successfully architectured and independently created the campaign management system via AWS Step Functions, Kinesis and json parser.• Created AWS Data Ingestion Pipelines using pagination to query DynamoDB using AWS lambda for serving the subsequent API calls.• Implemented the Flink framework for calculating the attributes for upto 180 days by maintaining their states on different realtime Kafka Streams.• Worked on re-orchestrating and migrated the entire system from airflow to AWS managed airflow to make it more manageable and effective.Specialties:• Proficient in handling various business scenarios and converting them into technical code and offering business solutions/recommendations or insights• Strong expertise in SQL concepts, Python, Scala, Spark and AWS.• Good ETL development experience to load and unload the data in data warehouse. Experience working with tool named Abinitio.• Expert in creating AWS data ingestion pipelines using pagination.• Implemented the stateful Flink framework and efficiently optimized the redshift queries.• Knowledge of Parsing json format for various APIs and sdks.