Senior AWS Data Engineer with 5 years of experience in designing and building large-scale data engineering solutions on AWS. Currently working on enterprise-grade banking data platforms using Databricks, PySpark, ETL, ELT, AWS Glue, S3, Redshift, Athena, EMR, and Step Functions. Strong expertise in Spark performance optimization, cloud ETL frameworks, and modern data lakehouse architectures using Delta Lake, Apache Hudi, and Apache Iceberg. Hands-on experience with batch and streaming pipelines, data warehousing, and scalable data processing. Skilled in Python, SQL, Airflow, AWS Lambda, Kinesis, DynamoDB, MongoDB, MySQL and PostgreSQL. Exposure to GenAI use cases including Retrieval-Augmented Generation (RAG), embeddings, and Amazon Bedrock. Open to remote roles (India / US / Europe time zones) and Available for immediate joining and actively seeking remote or permanent work-from-home data engineering roles with global teams (US / Europe).Open to remote and distributed team opportunities, including US and Europe time zones with async collaboration.
