Ravi Retineni Email & Phone Number

San Jose, CA, US

• Direct data management, architecture, big data engineering, and a $10M annual budget, leading a team of 95 technical staff across the U.S., India, and China.
• Drive data-driven decision-making by defining the vision, strategy, and development of data roadmaps, platforms, and advanced engineering solutions.
• Strengthen competitive advantage through data analytics in product development, customer experience, financial crime investigations, fraud risk management, compliance, and payment processing.
• Lead cloud migration initiatives for data engineering and analytics applications in risk and compliance management.
• Build, train, and mentor a high-performing engineering team, delivering key insights to internal stakeholders.
• Architect and deploy near real-time data pipelines, data foundations, and Data Asset Management systems on cloud and on-premises environments.

San Jose, CA, US

• Improved customer loyalty, satisfaction, and service levels while reducing costs by building advanced data analytics capabilities and solutions.
• Enabled real-time risk detection by overseeing the architecture, planning, and execution of big data platforms.
• Built scaled solutions with streaming and batch data processing platforms on big data and distributed real-time systems.
• Developed a robust petabyte-scale data platform to support model simulations on HBase.
• Established near real-time data engineering capabilities to minimize customer friction and improve customer experience and service delivery
• Hired, trained, and lead 28 data engineering and product managers across the U.S., India, and Tel Aviv.

San Jose, CA, US

• Led data architecture and engineering initiatives at eBay Inc. to develop core enterprise data assets supporting analytical use cases for eBay, PayPal, and StubHub.
• Managed data architecture and engineering efforts, including data warehousing (Teradata & Hadoop), for payments, user 2.0, risk management, and global customer success applications.
• Developed several innovative technologies, including Kafka for near-line data movement, Hadoop for centralized data repositories, HBase for risk detection, Platfora for web analytics, and a combination of Kafka with.
• Executed large-scale, transformative migrations of legacy systems with a well-defined transition strategy, ensuring legacy payment processing technology remained operational for approximately 300 million active accounts.
• Recruited, trained, and developed a high-performing engineering team across the U.S., India, China, and Tel Aviv.

Omaha, Nebraska, US

• Led data engineering, capture strategy, integration, warehousing, analytics, business intelligence, and 20 development staff.
• Defined analytical requirements for data architecture, source data analysis, and business intelligence frameworks.
• Conducted proofs-of-concept and cost-benefit analysis of the new software, hardware, and staff to build a data warehouse.
• Led metadata prototyping by designing IBM information warehouse, data models, and data lakes.
• Collaborated with business end-users to capture analytical requirements, program specifications, and SourceToTarget maps.
• Saved $3M in costs by deploying predictive analytics and lifetime customer value models, improving marketing campaign effectiveness, delivering campaign management and CRM solutions, and enabling market segmentation.

Edison, New Jersey, US