Rashad Mohammad Email & Phone Number

United States

Remote

As a data engineer in Citi. Below are my core responsibilities. 1. Data Pipeline Development: Design, build, and maintain efficient, reliable, and scalable data pipelines to ingest, process, and store large volumes of structured and unstructured data from various sources. 2. Data Integration: Integrate diverse data sources, ensuring data consistency, integrity, and high availability across all systems. 3. Data Modeling: Develop and maintain data models to support reporting, analytics, and data science initiatives, ensuring optimal performance and data accuracy. 4. Data Quality Assurance: Implement data quality checks and monitoring systems to ensure data accuracy, completeness, and consistency across all data assets. 5. Performance Optimization: Optimize data processing workflows and database performance, ensuring minimal latency and efficient resource utilization. 6. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions that meet business needs. 7. Technical Documentation: Create and maintain comprehensive technical documentation for data processes, systems, and infrastructure, ensuring knowledge sharing and continuity. 8. Security and Compliance: Ensure data security, privacy, and compliance with relevant regulations, implementing necessary controls and procedures to protect sensitive information. 9. Innovation: Stay updated with emerging technologies and industry best practices, continuously improving data engineering practices and proposing innovative solutions to enhance data capabilities. 10. Support and Troubleshooting: Provide support for data-related issues, troubleshooting and resolving problems promptly to ensure minimal disruption to business operations.

Chicago, Illinois, United States

As a Business Intelligence Developer with over 5 years of hands-on experience in Walgreens, I specialize in transforming complex data into actionable insights. My expertise lies in designing, developing, and implementing robust BI solutions that empower organizations to make data-driven decisions. Proficient in SQL, data modeling, ETL processes, and data visualization tools such as Tableau and Power BI, I excel at creating intuitive and interactive dashboards and reports.Throughout my career, I have collaborated with cross-functional teams to understand business requirements, develop tailored data solutions, and enhance data accessibility and quality. My passion for leveraging data to drive strategic initiatives has led to successful projects in various industries, including finance, healthcare, and retail.I am committed to continuous learning and staying abreast of the latest BI trends and technologies to deliver innovative solutions that provide real business value. If you're looking for a dedicated BI professional who can turn data into your organization's most valuable asset.

Remote

1. Sales Data Integration and Analytics Platformo Technologies: Hadoop, Spark, AWS, Informatica, Tableauo Developed a comprehensive data platform to integrate sales data from multiple sources, enabling advanced analytics and reporting for business teams.2. Customer 360 Data Warehouseo Technologies: Teradata, Snowflake, Databricks, Power BIo Built a customer 360 data warehouse to consolidate customer data, providing a unified view for personalized marketing and customer service.3. Real-time Data Processing Pipelineo Technologies: AWS (Lambda, Kinesis), Python, Tableauo Implemented a real-time data processing pipeline to analyze streaming data, generating real-time insights and alerts for operational efficiency.4. Financial Data ETL and Reportingo Technologies: Informatica, Alteryx, QlikViewo Designed and developed ETL processes for financial data integration, creating automated reports and dashboards for financial analysis.5. Retail Inventory Management Systemo Technologies: SQL, AWS (Redshift), Databricks, Tableauo Developed an inventory management system to optimize stock levels and reduce carrying costs, leveraging advanced analytics and reporting.6. Data Quality Assurance Frameworko Technologies: Python, SQL, QA Testing Toolso Created a data quality assurance framework to automate data validation and error detection, ensuring high data quality and reliability.7. E-commerce Recommendation Engineo Technologies: Python, Spark, AWS (S3, Redshift), Tableau