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Programming & Development Database Design & Administration

GCP, AWS DevOps and Data Engineering

$45/hr Starting at $45

The AWS experts in our team have;

Skils in

Cloud Technologies: Amazon Web Services (AWS) DevOps tools: Git, Jenkins, Maven, Ansible, Docker, Kubernetes(K8s), Terraform, JFrog Artifactory Version Control Tools: GIT, GITHUB. Server OS: RedHat, Ubuntu, Windows Operating Systems: RHEL, Ubuntu, Centos Scripting Languages: Shell scripting, JSON, YAML

Tools: JIRA, Confluence, Slack


The GCP experts in our team have skills in, 

MYSQL, MS SQL Server, T: SQL, Oracle, PL/SQL. • Google Cloud Platform: GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub. • Big Data: Spark, Azure Storage, Azure Database, Azure Data Factory, Azure Analysis Services. • ETL/Reporting: Power BI, Data Studio, Tableau • Python: Pandas, Numpy, SciPy, Matplotlib.


Have Extensive Experience in IT data analytics projects, Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data Proc, Google Cloud Storage, Composer. • Practical understanding of the Data modeling (Dimensional & Relational) concepts like Star - Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables. • Highly experienced in developing data marts and developing warehousing designs using distributed • SQL concepts, Presto SQL, Hive SQL, Python (Pandas, Numpy, SciPy, Matplotlib) and Pyspark to cope up with the increasing volume of data.


About

$45/hr Ongoing

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The AWS experts in our team have;

Skils in

Cloud Technologies: Amazon Web Services (AWS) DevOps tools: Git, Jenkins, Maven, Ansible, Docker, Kubernetes(K8s), Terraform, JFrog Artifactory Version Control Tools: GIT, GITHUB. Server OS: RedHat, Ubuntu, Windows Operating Systems: RHEL, Ubuntu, Centos Scripting Languages: Shell scripting, JSON, YAML

Tools: JIRA, Confluence, Slack


The GCP experts in our team have skills in, 

MYSQL, MS SQL Server, T: SQL, Oracle, PL/SQL. • Google Cloud Platform: GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub. • Big Data: Spark, Azure Storage, Azure Database, Azure Data Factory, Azure Analysis Services. • ETL/Reporting: Power BI, Data Studio, Tableau • Python: Pandas, Numpy, SciPy, Matplotlib.


Have Extensive Experience in IT data analytics projects, Hands on experience in migrating on premise ETLs to Google Cloud Platform (GCP) using cloud native tools such as BIG query, Cloud Data Proc, Google Cloud Storage, Composer. • Practical understanding of the Data modeling (Dimensional & Relational) concepts like Star - Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables. • Highly experienced in developing data marts and developing warehousing designs using distributed • SQL concepts, Presto SQL, Hive SQL, Python (Pandas, Numpy, SciPy, Matplotlib) and Pyspark to cope up with the increasing volume of data.


Skills & Expertise

AmazonAnsibleAWSAWS Data PipelineBigQueryCi CdData ManagementData WarehouseDatabase AdministrationElasticEngineeringGitHubGoogle Cloud PlatformGraph DatabaseJenkinsKubernetesMySQLPower BIPythonQlikRedshiftS3SparkTableauTerraform

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