- Senior Data Engineer with 6+ years of experience in building scalable, cloud-native data platforms - Specializes in batch and streaming pipelines using Apache Spark, PySpark, and Airflow - Skilled in processing multi-terabyte datasets with high reliability and performance Proven track record in: - Automating complex ETL workflows - Improving data quality and integrity - Enabling analytics at scale through robust data modeling - Strong experience with AWS stack: EMR, S3, Redshift, Glue, Lambda - Proficient in Python, CI/CD practices, orchestration tools, and infrastructure automation - Comfortable leading end-to-end projects across both on-prem and cloud environments - Currently seeking fully remote roles with high-performance data teams Core Skills: Python, PySpark, Apache Spark, AWS (EMR, S3, Glue, Redshift, Lambda), Apache Airflow, Hadoop, Hive, Jenkins, Docker, Bitbucket, Tableau, AtScale, CI/CD, Agile, DataOps