- Advanced proficiency in Python, including libraries such as Pandas, PySpark, and boto3
- Experience designing workflows in Apache Airflow (MWAA)
- Hands-on experience with Amazon Redshift for analytics and data warehousing
- Solid SQL skills and experience with data modeling and transformation
- Comfortable with Amazon S3, including setting up data lake architecture
- Familiar with AWS core services: EC2, S3, IAM, Lambda
- Experience using AWS Secrets Manager and AWS KMS for secure data access
- Solid understanding of batch processing (AWS Glue, EMR) and streaming (Kinesis)
- Version control using Git
📌 Dataengineer (AWS + Airflow+Python+Pyspark) (India)
🏢 Clifyx
📍 India
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