TECHNOLOGY THAT SCALES WITH PURPOSE.

Real-Time Media Supply Chain for Global Streaming

The Challenge

A major media conglomerate's streaming platforms struggled with slow asset delivery, with events taking up to 20 minutes to publish, hindering content automation and scalability for a global audience.

The Solution

Led the migration to a real-time, Kafka-based event-driven framework. Developed new metadata systems and rolled out an organizational transcoding engine to process deliveries in real-time for Disney+ and Hulu.

Project Scope

To architect and implement a high-throughput, event-driven media processing pipeline, reducing content publishing latency and enhancing scalability for global streaming services. Deliverables included a new metadata framework and a real-time transcoding engine.

The Results

• Reduced asset delivery publishing time from 20 minutes to under 1 minute.
• Successfully delivered 600,000 proxies for the launch of the Disney+ Ad Tier.
• Cut media onboarding time by 30%, enabling seamless client connectivity.

Modernizing Global Payment Infrastructure with Blockchain

The Challenge

A global bank needed to modernize its legacy payment infrastructure to support retail banking and crypto enablement, facing challenges with scalability and compliance across 128 microservices.

The Solution

Spearheaded a $200M initiative to migrate legacy services to a Hyperledger and Kubernetes/Java stack. Led Blockchain DevOps and Java teams and collaborated with executive committees to drive strategic rollout.

Project Scope

Lead a $200M global initiative to replace a legacy payment system with a modern blockchain-based platform. Objectives included migrating 128 microservices, enabling crypto products, and ensuring regulatory compliance and high availability.

The Results

• Maintained 99.98% uptime during live migrations across banking, fraud, and mobile services.
• Enabled retail banking teams to launch new blockchain-based products successfully.
• Aligned technical execution with strategic business goals for the One Pay FX initiative.

Enterprise Self-Serve BI & Data Monetization

The Challenge

A major telecommunications firm aimed to democratize data access and champion the adoption of new BI tools with a self-serve approach, requiring a robust microservices architecture on AWS for AT&T.

The Solution

Developed and extended access to over 100 AWS-based microservices and a 360 Dataset for internal monetization. Championed ThoughtSpot for natural language querying and built ML-ready datasets.

Project Scope

Democratize data access by developing a self-serve BI initiative on AWS. Key objectives were to onboard business teams, build a 360-degree dataset for monetization, and enable predictive modeling by creating ML-ready datasets.

The Results

• Enabled internal business teams to onboard new use cases for data monetization.
• Deployed key dashboards in Power BI & Tableau for Finance and Marketing to track weekly KPIs.
• Built ML-ready datasets in partnership with H2O teams for predictive modeling initiatives.

Customizable Multi-Tenant SaaS Rewards Platform

The Challenge

A performance group needed a scalable, multi-tenant SaaS platform on Azure to provide a customizable rewards experience for diverse enterprise clients like Kawasaki and Accenture, while also reducing operational costs.

The Solution

Led a full-stack team to build the platform from the ground up. Architected a REST/JSON API framework to integrate 100+ vendors and led a localization initiative with 300+ user stories to boost global engagement.

Project Scope

Build a multi-tenant Azure SaaS platform for customizable client rewards programs. Deliverables included leading a team of 12 professionals, creating a vendor API framework, and implementing a localization strategy to drive global user adoption.

The Results

• Eliminated $500K in annual pricing-related losses through the new API framework.
• Boosted user engagement by 40% through a comprehensive localization initiative.
• Reduced sprint carryover by 90% and backlog age by 50% through improved agile processes.

Scalable Screening Platform for Awards Season

The Challenge

Needed a secure, multi-tenant SaaS solution to support over 100,000 users and high-demand streaming for Disney's awards season and screener events.

The Solution

Rolled out a multi-tenant SaaS platform with robust scalability to handle peak user loads, ensuring a seamless and high-quality viewing experience for critics and voters.

Project Scope

Deliver a highly scalable and secure multi-tenant SaaS platform to support awards season streaming events. The system needed to reliably serve over 100,000 users simultaneously while protecting high-value media content.

The Results

• Successfully supported 100k+ users/streams during peak awards season.
• Provided a secure and reliable platform for high-profile content.
• Ensured seamless scalability to meet fluctuating demand.

Digital Asset Management (DAM) Modernization

The Challenge

Modernize Twentieth Century Fox's legacy Digital Asset Management system, which supported over 100,000 assets and required improved cross-platform content compatibility.

The Solution

Led three Scrum teams through a complete DAM/MAM system rebuild, introducing reusable metadata models to enhance system robustness and streamline content workflows.

Project Scope

Lead the complete modernization of a Digital Asset Management system for 100K+ assets. Key objectives included rebuilding the DAM/MAM, ensuring cross-platform compatibility, and enhancing system robustness through reusable metadata models.

The Results

• Reduced content delivery errors by 40% through enhanced system robustness.
• Achieved $400M in savings via reusable metadata models.
• Enabled 20% faster content delivery and improved metadata accuracy.

HR & Payroll Platform Migration to SaaS

The Challenge

Transition Red Bull's North America payroll for over 3,000 employees from a legacy system to a modern Ceridian Dayforce HCM SaaS platform, while integrating benefits and 401k systems.

The Solution

Led requirements gathering and workflow mapping across HR, Finance, and IT. Built additional endpoints to support the seamless transition of benefits and recruiting data.

Project Scope

Execute the complete migration of a payroll platform to a SaaS solution for 3,000+ employees. Deliverables included mapping new workflows, building integration endpoints for benefits/401k, and automating data feeds to reduce processing time.

The Results

• Successfully migrated payroll and benefits for 3,000+ employees.
• Reduced payroll processing time by 35% by automating workflows and data feeds.
• Visualized and optimized the new HR system architecture.

Global Rights Management System Enhancement

The Challenge

Improve IT processes for Sony Pictures' global Rights Management system, which managed over 1,500 titles and their complex associated rights workflows for legal and distribution teams.

The Solution

Provided client-focused IT account management, authored detailed user stories and acceptance criteria, and delivered a GAP analysis to streamline system enhancements.

Project Scope

Provide IT account management for a global Rights Management system supporting 1,500+ titles. The project focused on demand management, authoring user stories, leading UAT, and delivering a GAP analysis to reduce vendor dependency.

The Results

• Reduced vendor customization requirements by 30%, saving costs and time.
• Improved support for global legal teams managing complex contract validations.
• Streamlined the UAT and stakeholder feedback process.

Financial Systems Automation & ETL Optimization

The Challenge

New York Life's financial reporting was manual and time-consuming, with quarterly report generation taking two weeks and daily prep time lasting three days.

The Solution

Designed and deployed automated reporting workflows and built robust ETL pipelines to streamline data processing for SAP, Tax, and Accounting systems.

Project Scope

Support five finance teams by creating applications to automate reporting and improve data accuracy. Key deliverables included building ETL pipelines to optimize quarterly report generation and developing C#/.NET apps for SAP tax compliance.

The Results

• Automated reporting, cutting preparation time from 3 days to just 1 hour.
• Reduced quarterly report generation from 2 weeks to 2 days.
• Improved data accuracy by 11% and reduced audit discrepancies by 20%.

Building ML-Ready Datasets for Predictive Modeling

The Challenge

Empower AT&T's business teams to leverage predictive modeling by providing them with clean, structured, and ML-ready datasets, which were previously inaccessible.

The Solution

Partnered with H2O.ai teams and utilized Trifacta to engineer and build ML-ready datasets, enabling natural language querying and advanced analytics initiatives.

Project Scope

Partner with H2O.ai to create the foundational data infrastructure for predictive modeling. The primary objective was to build clean, ML-ready datasets using Trifacta to unlock new analytics capabilities and support data monetization.

The Results

• Enabled multiple new predictive modeling initiatives across business units.
• Championed the adoption of advanced data tools like ThoughtSpot.
• Successfully created foundational datasets for internal data monetization.