Hadoop, Pyspark, Scala, Mapreduce, Unix Shell Scripting, Hive, Spark, Tensorflow, Python, Pytorch, scikit-learn, Machine Learning Techniques, SparkML

Hive, Hadoop, Pyspark, Spark, Data Warehousing, Unix Shell Scripting, Sql, Etl, BigData technologies, HDFS

Java, Performance Tuning, Pyspark, Kafka, Sql, ELT, Query Optimization, Apache Airflow, Data Quality, Git, Data Governance, Python, Etl, Apache Iceberg, DevOps practices, data modeling techniques, data transformation frameworks, large-scale structured and unstructured datasets, Spark-based data processing, data partitioning, metadata

data wrangling , Pyspark, Unit Testing, Apis, Debugging, Oop, Concurrency, Git, Numpy, Core Python, Data Pipeline, Pandas, Exception Handling, Data Loading, Restful Services, Vector Operations, Decorators, Dataframes, Parallel Processing, Gen AI, Lambda Functions, DB Connectivity, Error Handling

data wrangling , Oops, Data pipeline, Concurrency, Python, Pyspark, Exception Handling, Apis, Data Loading, Debugging, Numpy, Git, Pandas, Restful Services, Unit tests, Decorators, Dataframes, Apply map functions, Lambda Functions, Parallel Processing, Error handling, Applymap, DB connectivity, Gen Agentic AI, Vector operations

Pyspark, Python