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Data Engineering | Data Analytics |

$50/hr Starting at $100

Highly skilled and results-oriented Data Engineer with extensive expertise in implementation, automation, and maintenance of data pipelines across various cloud platforms. Proven ability to design, develop, and implement scalable data solutions encompassing broad spectrum of technologies like Azure  Synapse, Azure Databricks, AWS Glue, SQL development and more. Experienced in working with data processing for efficient data ingestion, transformation, and analysis for optimal business results.


Experienced Data Engineer with a passion for leveraging diverse portfolio of cloud-based technologies to architect, develop, orchestrate, and optimize data pipelines and analytics solutions complemented by strong Software Engineering background and Business Intelligence. Skilled in Azure and AWS ecosystems, with expertise in designing and implementing robust, scalable data architectures. Proficient in Python, PySpark, and various cutting-edge data oriented technologies . Committed to driving innovation and efficiency in data engineering processes and methodologies. Proficiency extends to enhancement and maintenance of existing legacy ETL processes and infrastructure. 


Additionally, an accomplished Business Intelligence specialist with experience in leveraging data analytics tools to drive informed decision-making and optimize business processes. Proficient in developing robust data models, creating insightful visualizations, and generating comprehensive reports to support strategic initiatives. Committed to delivering actionable insights and enhancing organizational and operational efficiency through innovative BI solutions.


◈Cloud Platforms: AWS, Microsoft Azure

 

◈Data Engineering: Azure Synapse, Azure Databricks, Azure Data Factory, Azure Event Hubs, Azure Functions, Azure Stream Analytics, Python, PySpark, AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, AWS EventBridge, Apache Airflow, Kafka, Snowflake, Azure Cosmos DB


◈Business Intelligence / Data Analytics: Power BI, SSIS, SSRS, Crystal Reports


◈Complementary Technologies: .NET, C#, VB.NET, SQL Server, Microsoft Dynamics 365, SharePoint, Oracle

About

$50/hr Ongoing

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Highly skilled and results-oriented Data Engineer with extensive expertise in implementation, automation, and maintenance of data pipelines across various cloud platforms. Proven ability to design, develop, and implement scalable data solutions encompassing broad spectrum of technologies like Azure  Synapse, Azure Databricks, AWS Glue, SQL development and more. Experienced in working with data processing for efficient data ingestion, transformation, and analysis for optimal business results.


Experienced Data Engineer with a passion for leveraging diverse portfolio of cloud-based technologies to architect, develop, orchestrate, and optimize data pipelines and analytics solutions complemented by strong Software Engineering background and Business Intelligence. Skilled in Azure and AWS ecosystems, with expertise in designing and implementing robust, scalable data architectures. Proficient in Python, PySpark, and various cutting-edge data oriented technologies . Committed to driving innovation and efficiency in data engineering processes and methodologies. Proficiency extends to enhancement and maintenance of existing legacy ETL processes and infrastructure. 


Additionally, an accomplished Business Intelligence specialist with experience in leveraging data analytics tools to drive informed decision-making and optimize business processes. Proficient in developing robust data models, creating insightful visualizations, and generating comprehensive reports to support strategic initiatives. Committed to delivering actionable insights and enhancing organizational and operational efficiency through innovative BI solutions.


◈Cloud Platforms: AWS, Microsoft Azure

 

◈Data Engineering: Azure Synapse, Azure Databricks, Azure Data Factory, Azure Event Hubs, Azure Functions, Azure Stream Analytics, Python, PySpark, AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, AWS EventBridge, Apache Airflow, Kafka, Snowflake, Azure Cosmos DB


◈Business Intelligence / Data Analytics: Power BI, SSIS, SSRS, Crystal Reports


◈Complementary Technologies: .NET, C#, VB.NET, SQL Server, Microsoft Dynamics 365, SharePoint, Oracle

Skills & Expertise

AmazonAnalyticsC#C++Cloud ComputingData ExtractionData ManagementJavaScriptMicrosoftMicrosoft AzureObject Oriented ProgrammingOracleProgrammingPythonReportsSQLVersion ControlXML

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