data wrangling , Pyspark, Apis, data pipeline, Oop, Numpy, Git, Concurrency, Core Python, Pandas, Debugging, Restful Services, Data Loading, DB connectivity, Decorators, Gen AI, unit tests, dataframes, Lambda Functions, apply map functions, vector operations, applymap, error handling

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

Spark SQL, Hive, HDFS file system, Hadoop architecture, Python scripts, Spark/Scala

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

Core Java, Sql, S3, Ec2, Maven, Scala, Pyspark, AWS, Python, Jenkins, Git, Hive programming, dbt, Map Reduce, Cradle

Ranger, Unix, Hadoop, Kafka, Yarn, HBase, Hortonworks, Hive, Mapr, Sqoop, Linux, Kerberos, Ansible, Shell scripting, Spark, Ambari, Oozie, Cloudera Manager, Python, HDFS

Ranger, Linux System Administration, Prometheus, Kafka, Grafana, Hortonworks, Mapreduce, Hadoop Administration, Docker, Sqoop, Kerberos, Ambari, Python, Flume, Sentry, HBase, Yarn, Hive, Spark, Cloudera, Nagios, Kubernetes, Cloudera Manager, AWS EMR, GCP Dataproc, HDFS, Azure HDInsight