Sayed Subzwari

Highly analytical and results-driven data professional with more than 5 years of experience in FinOps designing, developing, and managing data infrastructure and data-driven solutions.

• Designed and implemented highly available and scalable solutions for clients using AWS services such as EC2, S3, RDS, and VPC, as well as Azure data engineering tooling.
• Led cross-functional teams in the implementation of AWS solutions, ensuring adherence to best practices and AWS Well-Architected Framework.
• Spearheaded the design and implementation of a scalable data pipeline that processed terabytes of data on a daily basis, resulting in 50% reduction in data processing time.
• Built and maintained data warehousing and data lake environments utilizing AWS Redshift,Snowflake and S3, enabling data scientists and business analysts to access and analyze data easily.
• Developed and optimized data models for predictive analytics and statistical modeling using Python and SQL.
• Experience in Agile environment and System development.
• Designed and developed ETL processes to extract, transform, and load data from various sources into a centralized data warehouse, resulting in improved data accuracy and faster data access for business stakeholders.
• Automated data processing and analysis tasks using Python scripts and AWS Lambda functions, reducing manual effort and improving efficiency.
• Knowledge of EMR software.
• Test script maintenance and test automation.
• Conducted extensive testing and performance tuning to ensure the scalability, reliability, and availability of the data pipeline, resulting in increased data processing speed and reduced system downtime.
• Designed and developed a data warehouse using AWS Redshift to consolidate and store sales and inventory data from various sources, ensuring data quality and consistency.
• Experience with Elasticsearch/ELK, Kibana and Grafana
• Utilized AWS and Azure data engineering tooling, including AWS Glue, AWS EMR, Azure Databricks, and Azure Data Factory, to design and implement end-to-end data processing and analytics pipelines.
• Developed and maintained data visualization dashboards using Tableau, providing business stakeholders with self-service access to data and insights.
• Implemented and managed DevOps tools such as Git, Jenkins, and Ansible, to automate the software development life cycle and enable continuous integration and delivery.
• Designed and implemented containerization solutions using Docker and Kubernetes, for improved application scalability, portability, and maintainability.
• Implemented and managed infrastructure as code using Terraform and CloudFormation, to enable fast and consistent infrastructure deployments and reduce manual errors.
• Conducted disaster recovery planning and testing for AWS and Azure environments, to ensure business continuity and minimize downtime in the event of an outage.
• Developed and implemented monitoring and alerting solutions using tools such as CloudWatch and Log Analytics, to monitor application and infrastructure performance and generate alerts for critical issues.
• Utilized Excel and google sheets to analyze and manipulate large datasets to identify trends and patterns, resulting in improved business decisions.
• Developed and maintained interactive dashboards and reports using Power BI to communicate data insights to stakeholders.
• Managed SharePoint sites and lists to organize and share data with team members, improving collaboration and productivity.
• Developed and maintained interactive dashboards and reports using Amazon QuickSight, providing stakeholders with timely and actionable insights into business operations
• Utilized Athena to query and analyze large datasets in Amazon S3, enabling the extraction of meaningful insights to inform business decisions.
• Conduct financial planning and analysis, including budgeting, forecasting, and variance analysis, to support business decision-making and drive financial performance.
• Experience and knowledge of BI tools such as Alteryx- Tableau- Power BI- Looker.
• Implement and manage cost optimization initiatives, such as expense reduction, process improvement, and vendor negotiations, to achieve cost savings and improve profitability.
• Conducted a thorough analysis of the company's cloud infrastructure usage, including server instances, storage, and network services, using AWS Cost Explorer and other cloud cost management tools.
• Solid understanding of machine learning
• Extensive experience in reporting, financial modeling, economic/profit analysis, financial planning
• Identified and prioritized cost optimization opportunities, including resizing and optimizing server instances, implementing spot instances, and consolidating storage.
• Developed a reliable cost forecasting model using historical usage data and business forecasts, enabling the company to budget and plan cloud infrastructure costs accurately.
• Reduced cloud infrastructure costs by 30%, saving the company $95K annually.

• Used infrastructure optimization tools as AWS Trusted Advisor, Azure Advisor, Google Cloud Optimization Recommendations
• Hands on experience on Cloud security and compliance tools such as AWS Config, AWS CloudTrail, Azure Policy, Azure Security Center, Google Cloud Security Command Center, Cloud Conformity
• Implemented cost optimization strategies such as reserved instances, spot instances, and right-sizing of instances based on workload requirements.
• Utilized AWS Savings Plans and Azure Reserved Capacity to reduce cloud costs and provide predictable cost savings.
• Ability to multi-task and manage multiple concurrent projects
• Analyzed usage patterns and made recommendations for cost savings by identifying underutilized resources and making changes to eliminate waste.
• Developed cost optimization plans and implemented them with cross-functional teams to ensure alignment with business goals and objectives.
• Monitored cost metrics and provided regular reports to stakeholders to track cost optimization progress and ensure accountability.
• Agile learner with strong problem-solving skills to solve complex data problems
• Excellent verbal and written communication, problem solving, customer service and interpersonal skills

AWS Solutions Architect Certified

Masters in business administration MBA completed 2010