AWS Data Engineer

Years of Exp : 5-10 Years

Key Skillset: AWS,Python,SQL,Databricks and Data Modelling

• Proven experience as a Data Engineer (typically 5-10 years, depending on level).
• Strong hands-on experience with Python for data engineering tasks.
• Proficiency in SQL (writing complex queries, performance tuning).
• Strong expertise in PySpark and Databricks.
• Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
• Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
• Solid understanding of data modeling, warehousing, and ETL/ELT concepts.
• Knowledge of version control systems (Git) and CI/CD practices.
• Excellent problem-solving and communication skills.

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Sanjeevan Natarajan - [HIDDEN TEXT]