Solid Principles, Pyspark, Apache Spark, Sql, Clustering, Python, data pipelines, data workflows, clean code practices, architecture patterns, data models, processing strategies, partitioning, streaming replication, pushdown optimization

data wrangling , slicing , Data Loading, concurrency, Exception Handling, Debugging, Numpy, Pyspark, Pandas, Python, Apis, Git, Restful Services, Oop, dataframes, Lambda Functions, applymap, unit tests, DB connectivity, Decorators, error handling, Parallel Processing, apply map functions, aggregations

Github, Gcp, Pyspark, Azure, Python, Sql, AWS, Airflow