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AWS Big Data PySpark Developer

$5/hr Starting at $300

AZDPS has experience in Big Data projects which includes migrating and processing a large amount of data. They worked on various Big data technologies like Hive, Sqoop, Spark and also many a time indulged themselves in automating possible hectic manual tasks with the help of Scripts written mainly in Unix and Python. They have also experience in working with various AWS Services like EC2, EMR, S3, Glue, IAM, Athena, RDS. They have experience designing and developing data pipeline architectures using the Databricks platform and deploying the application using CI/CD pipeline. Additionally, they also worked with workflow management platforms like Airflow.


They focus on ‘developing the best’. Communication is key, they keep the stakeholders informed regularly about his work. They are open to inputs, especially when supported by data. They are a firm believer in teamwork and often tries to maintain an effective and productive workplace. You will find they are punctual.


Specialties:

-- Unix

-- Hive

-- Sqoop

-- Pyspark

-- Python

-- Spark SQL & Spark Streaming

-- AWS Services

-- Airflow DAG

-- CI/CD

-- Graph Database (Stardog & Neo4j)

About

$5/hr Ongoing

Download Resume

AZDPS has experience in Big Data projects which includes migrating and processing a large amount of data. They worked on various Big data technologies like Hive, Sqoop, Spark and also many a time indulged themselves in automating possible hectic manual tasks with the help of Scripts written mainly in Unix and Python. They have also experience in working with various AWS Services like EC2, EMR, S3, Glue, IAM, Athena, RDS. They have experience designing and developing data pipeline architectures using the Databricks platform and deploying the application using CI/CD pipeline. Additionally, they also worked with workflow management platforms like Airflow.


They focus on ‘developing the best’. Communication is key, they keep the stakeholders informed regularly about his work. They are open to inputs, especially when supported by data. They are a firm believer in teamwork and often tries to maintain an effective and productive workplace. You will find they are punctual.


Specialties:

-- Unix

-- Hive

-- Sqoop

-- Pyspark

-- Python

-- Spark SQL & Spark Streaming

-- AWS Services

-- Airflow DAG

-- CI/CD

-- Graph Database (Stardog & Neo4j)

Skills & Expertise

AWSBig DataData PipelinePlsqlPySparkPython 3Shell ScriptingSQLUnix

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