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Data Engineering

$30/hr Starting at $25

I am a highly skilled Data Engineer with over five years of experience in designing and implementing data solutions that transform how organizations utilize data. My expertise lies in big data technologies like Hadoop, Apache Spark, Apache Kafka, and NoSQL, alongside cloud platforms such as Databricks for scalable analytics and Salesforce Data Cloud for customer data management and integration.
I specialize in creating robust, scalable data architectures that meet the needs of diverse business environments. Whether it's building end-to-end data pipelines or real-time streaming frameworks, I bring a comprehensive skill set that ensures efficient data flow and insightful analysis. My goal is to help businesses harness the power of data by optimizing processes, reducing latency, and improving overall performance.

Key Skills & Expertise:

Hadoop & Apache Spark: Extensive experience in distributed data processing systems, including real-time and batch processing using Apache Spark. Proficient in using Spark Core, Spark SQL, and DataFrame APIs for large-scale data analytics.

Apache Kafka & Confluent Kafka: Built and maintained Kafka messaging systems for streaming data between various services and platforms, ensuring low-latency, real-time data handling.

Databricks: Expertise in Databricks for advanced analytics, ETL processes, and machine learning workflows. Created collaborative workspaces for team-based development and efficient big data processing.

Salesforce Data Cloud: Proficient in integrating customer data into Salesforce Data Cloud for enhanced analytics and customer engagement strategies, building a unified data view across multiple sources.

NoSQL Databases: Hands-on experience with databases like HBase and Cassandra for high-availability, low-latency applications where traditional databases may not perform as required.

Data Pipeline Development: Skilled in building data pipelines using Hadoop, Sqoop, Hive, HDFS, and Spark, automating the entire process to ensure data consistency and reliability.

Cloud Data Integration: Expertise in integrating on-premise data systems with cloud-based environments like Salesforce Data Cloud and using cloud storage solutions for scalable, secure data processing.

Shell Scripting & Automation: Proficient in automating repetitive tasks with shell scripts, improving workflow efficiency, and reducing manual intervention in data processes.


About

$30/hr Ongoing

Download Resume

I am a highly skilled Data Engineer with over five years of experience in designing and implementing data solutions that transform how organizations utilize data. My expertise lies in big data technologies like Hadoop, Apache Spark, Apache Kafka, and NoSQL, alongside cloud platforms such as Databricks for scalable analytics and Salesforce Data Cloud for customer data management and integration.
I specialize in creating robust, scalable data architectures that meet the needs of diverse business environments. Whether it's building end-to-end data pipelines or real-time streaming frameworks, I bring a comprehensive skill set that ensures efficient data flow and insightful analysis. My goal is to help businesses harness the power of data by optimizing processes, reducing latency, and improving overall performance.

Key Skills & Expertise:

Hadoop & Apache Spark: Extensive experience in distributed data processing systems, including real-time and batch processing using Apache Spark. Proficient in using Spark Core, Spark SQL, and DataFrame APIs for large-scale data analytics.

Apache Kafka & Confluent Kafka: Built and maintained Kafka messaging systems for streaming data between various services and platforms, ensuring low-latency, real-time data handling.

Databricks: Expertise in Databricks for advanced analytics, ETL processes, and machine learning workflows. Created collaborative workspaces for team-based development and efficient big data processing.

Salesforce Data Cloud: Proficient in integrating customer data into Salesforce Data Cloud for enhanced analytics and customer engagement strategies, building a unified data view across multiple sources.

NoSQL Databases: Hands-on experience with databases like HBase and Cassandra for high-availability, low-latency applications where traditional databases may not perform as required.

Data Pipeline Development: Skilled in building data pipelines using Hadoop, Sqoop, Hive, HDFS, and Spark, automating the entire process to ensure data consistency and reliability.

Cloud Data Integration: Expertise in integrating on-premise data systems with cloud-based environments like Salesforce Data Cloud and using cloud storage solutions for scalable, secure data processing.

Shell Scripting & Automation: Proficient in automating repetitive tasks with shell scripts, improving workflow efficiency, and reducing manual intervention in data processes.


Skills & Expertise

AnalyticsApacheCloud ComputingData ExtractionData ManagementJSONLinuxProgrammingPythonSQLUnix

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