With a strong background in big data processing, visualization, and scalable architecture, I am confident I can meet and exceed your requirements. Below are the key details :
Scope of Work
Data Integration and ETL Pipeline Development
Design and implement scalable ETL pipelines using PySpark to process large datasets on Hadoop clusters.
Integrate data from multiple sources (e.g., databases, APIs, file systems).
Big Data Processing
Leverage Hadoop ecosystem tools (HDFS, Hive, etc.) to store and manage raw and processed data.
Optimize Spark jobs for performance and cost-efficiency.
Data Analysis and Visualization
Build interactive dashboards in Tableau to present actionable insights.
Work closely with stakeholders to customize visualizations based on key performance indicators (KPIs).
Quality Assurance and Documentation
Ensure data accuracy and completeness with comprehensive validation checks.
Provide clear documentation for pipeline architecture, code, and Tableau dashboards for future maintenance.
Ongoing Support
Offer post-deployment monitoring and support to address issues and ensure smooth operation.
Tools and Technologies
Big Data Frameworks: Hadoop, Spark (PySpark), Hive
Data Storage: HDFS, AWS S3, relational and NoSQL databases
Visualization: Tableau, Power BI
Programming: Python, SQL
Scheduling and Orchestration: Airflow, Oozie
Version Control: Git