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.
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