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I leverage my 12+ years of experience in data engineering to design and implement innovative solutions that enable data-driven decision making for the organization. I am passionate about building and maintaining a scalable, reliable, and secure data platform that supports the development and production of machine learning models that improve business performance and customer satisfaction.At my previous roles, I’ve led teams of data engineers and managed large-scale projects that optimized marketing spend, enhanced data ecosystems, and increased customer attribution. I have a proven track record of delivering high-quality results that exceed performance goals and expectations. I am proficient in SQL, T-SQL, Python, Scala, and Spark, and I have extensive knowledge of AWS, serverless architectures, and MLOps. I am a resourceful problem solver, a collaborative partner, and a technical leader who strives to empower and elevate my colleagues and customers.
Sandboxaq
View- Website:
- sandboxaq.com
- Employees:
- 330
-
Senior Staff Data EngineerSandboxaqFlorida, United States -
Lead Data EngineerAmazon Mar 2022 - PresentSeattle, Wa, UsAs a Lead Data Engineer, I manage a team of Data Engineers, fostering an environment of growth, innovation, and development. My role is pivotal in driving large-scale projects from conception to implementation, ensuring they not only meet but exceed operational requirements and business expectations. • Optimized Marketing Spend Through Data Insight: Lead the architecture and execution of a customer attribution model, handling over 100 TB of daily Clickstream data. Utilized serverless technologies, including Apache Spark, to enhance data analysis processes. This strategic initiative granted actionable insights into customer engagement from the first interaction to purchase, enabling the marketing department to reallocate budgets effectively and fine-tune campaign strategies. • Enhanced Science Model Development and Productionization Efficiency: Led the design, implementation and enhancement of a complete Machine Learning Operations (MLOps) platform. By leveraging a serverless AWS architecture, the platform set new benchmarks for the development and deployment of scientific models. The initiative, grounded in industry best practices, marked a increase in operational efficiency and system robustness, reducing model roll-out times by 50%. • Improved Data-Driven Decision-Making with a Comprehensive Data Management Platform: Designed and implemented a comprehensive data platform, pivotal for transforming, storing, indexing, and assessing the quality of incoming data through data quality tests. As the cornerstone data solution for the organization, this infrastructure elevated data precision and availability by 25%, fortifying the foundation of data-centric decision-making processes. -
Senior Data EngineerAmazon Oct 2019 - Mar 2022Seattle, Wa, UsAs a Senior Data Engineer, I was instrumental in orchestrating and advancing Amazon's data management infrastructure, aligning strategic development with business objectives for optimized functionality and innovation. I embraced collaborative approaches, partnering with cross-functional teams to pivot towards a data-driven culture that underscores the importance of reliable, actionable insights. • ETL Process Optimization: Spearheaded the design, construction, and maintenance of robust ETL pipelines, ensuring they were finely tuned to meet evolving business demands. My initiatives significantly uplifted the performance and scalability of existing reports and insights, driving operational excellence. • Standardization of Core Data Modeling Practices: Initiated and led the standardization of data modeling methodologies across all core database tables, a critical move that streamlined data interactions and enhanced performance. I devised guidelines and best practices, ensuring uniformity in the creation, maintenance, and manipulation of foundational database elements. • Pioneered Data Governance Strategy: Devised and implemented a comprehensive data governance blueprint, fortifying data accuracy and availability. This strategic framework propelled organization-wide data quality standards, improving an accurate decision-making processes. • Advancing Team Proficiency in Code Optimization: Steered a transformative upskilling initiative within the team, focusing on elevating expertise in optimizing SQL, PySpark, and Scala code for high-efficiency data pipelines. Recognizing the critical impact of performance-optimized data operations on business outcomes, I implemented a comprehensive program that included: interactive workshops and presentations, documentation of best practices, mentorship and performance tracking. -
Senior Consulting EngineerBaptist Health South Florida Jun 2019 - Oct 2019Coral Gables, Florida, Us• ETL Process Optimization: Developed ETL pipelines, integrating diverse data sources into a consolidated data warehouse. Optimized data models and structures, streamlining data flows and minimizing ETL cycle times, which contributed to efficient data processing and reporting capabilities.• Led the Design and Migration from a Relational Database to a Spark enabled Data Lake: to improve the performance and scalability of core data pipelines. I focused on designing, implementing and maintaining the infrastructure. This effort improved data delivery consistency and high-performance data processing across all layers of the technology stack. -
Founder & CeoEducate Net Aug 2015 - May 2019Miami, Florida, Us• Led the design and development of cutting-edge educational web platforms, leveraging a wide range of technologies including Python, JavaScript, and SQL. These applications focused on providing literature and grammar content to millions of middle school students.• Developed and automated data pipelines to capture, clean, and structure web traffic data, subsequently building models to forecast trends in audience, revenue, seasonality, and operational metrics. This proactive approach helped identify potential business threats and opportunities.• Leveraged AWS cloud services to build and maintain a scalable and highly accessible data infrastructure, ensuring the efficient storage and retrieval of large volumes of data and supporting the high-performance requirements of the platform. -
Data Engineer ManagerChen Medical Dec 2011 - Jul 2015Miami Gardens, Fl, UsAs the Manager, I lead the Data Warehouse, Reporting, and Innovation team, overseeing a group of 10 data professionals and directing strategic initiatives that have resulted in an increase in reporting efficiency and the successful launch of a company-wide innovation platform. • Data Warehouse: Focused on ETL by centralizing all of our data from different sources into our internally developed data warehouses that feed all of our applications, dashboards, and reports. • Reporting: Analyzes the data requirements of the company and develops key performance indicators to provide action-driving insights. • Innovation: Research and development of user-friendly data platforms that deliver real time key business metrics.Key Achievements:• Setup enterprise-wide Infrastructure that consolidates healthcare data, and serves ad-hoc analysis (SQL & data warehouse), reporting, and dashboard (QlikView) needs.• Supported the Analytical needs of all market customers such as: Sales and Marketing, Coding and Billing, Operations and Clinical, Legal and Finance. • Developed a system that tracks and lowers medical costs by 15% -
Business Intelligence EngineerFedex Express Jan 2010 - Dec 2011Memphis, Tn, Us• Member of a consulting department that focuses on providing analytical support for the entire Latin America & Caribbean Division through Automation and Business Intelligence.• Responsible for creating, documenting, and implementing innovative solutions for the business, and supporting IT in developing long term solutions• Supported long-term enterprise Business Objects projects by defining requirements, and developing the reports. • Automated day to day operational processes for payroll, finance, accounting, credit & collection, marketing, sales, and operations in the whole division using PERL scripts, VBA macros, and PHP Web Applications. -
Project ManagerBayview Financial May 2009 - Jul 2009Coral Gables, Fl, Us• Responsible for gathering information on potential projects, in order to analyze the needs and wants of the business, and prioritize the workload of the programmers.• Analyzed business processes to identify new opportunities in an effort to capture the current business key performance indicators in an accurate and efficient manner. -
Business Intelligence EngineerFedex Express Apr 2007 - Nov 2008Memphis, Tn, UsI am a member of a consulting department that is focused on providing analytical support for the entire Latin America & Caribbean Division through Automation and Business Intelligence. • I utilize Business Objects to transform data into information and to support decision making as both a technical and a business expert. • I am also responsible for creating, documenting, and implementing innovative solutions for our business and supporting IT in developing long term solutions.
Mario R. Skills
Mario R. Education Details
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University Of Miami Herbert Business SchoolMba -
University Of MiamiEconomics
Frequently Asked Questions about Mario R.
What company does Mario R. work for?
Mario R. works for Sandboxaq
What is Mario R.'s role at the current company?
Mario R.'s current role is Senior Staff Data Engineer.
What is Mario R.'s email address?
Mario R.'s email address is ma****@****hoo.com
What is Mario R.'s direct phone number?
Mario R.'s direct phone number is +130571*****
What schools did Mario R. attend?
Mario R. attended University Of Miami Herbert Business School, University Of Miami.
What skills is Mario R. known for?
Mario R. has skills like Consulting, Market, Chess, Technical Assistance, Taekwondo, Jasper Reports, Perl, Finance, Tableau, Miami, Business Administration, Commercial Construction.
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