Technical Skills:
Python: Proficiency in Python programming for data manipulation, automation, and scripting.
Pandas: Strong experience with the Pandas library for data analysis and manipulation.
AWS Managed Airflow: Hands-on experience with AWS Managed Airflow for orchestrating data pipelines.
Data Quality Checks: Expertise in implementing and maintaining data quality checks to ensure data integrity and accuracy.
Data Pipelines: Proven experience in designing, building, and maintaining data pipelines.
Proficiency in SQL and non-sql databases
SQL: Proficiency in writing and optimizing SQL queries
ETL Processes: Experience with Extract, Transform, Load (ETL) processes and tools.