Trusted Data Engineering Experts

I am a Data and AI leader with over 12 years of experience across data engineering, data science, analytics, and business intelligence. I design and scale data systems that support reporting, AI, and real-world decision-making, with a focus on data quality, architecture, and AI readiness. My work spans complex enterprise environments, where I help teams avoid data failures that undermine analytics and AI initiatives. I write and speak about practical data engineering, applied data science, AI readiness, and building data foundations that actually work.

Software Data Engineer with over 9 years of experience who is passionate about turning big data into strategic assets. Experience Highlights: PySpark Development Dashboard Reporting AWS ETL Development ETL Data Validation Data Scrubbing REST API Data Ingestion

I'm a fourth year PhD student at University of the Cumberland's, currently working on my Dissertation under Dr. Oni Oludotun & Dr. Izzat Alsmadi Professor.

Sujay Jain is a seasoned technology leader and software engineering expert with extensive experience in designing and building scalable, distributed systems at top-tier organizations like Netflix, Facebook, and Microsoft. With advanced degrees from Carnegie Mellon University and BITS Pilani, he brings a rich academic foundation to his professional endeavors. Sujay specializes in creating data systems optimized for machine learning and AI, real-time data processing, and distributed systems architecture. At Netflix, he spearheads the development of cutting-edge platforms like the Data Mesh, which processes trillions of events daily, and leads the democratization of stream processing with Streaming SQL. His prior work includes advancing Facebook’s Presto distributed SQL engine and driving core infrastructure projects at Microsoft, such as Yammer’s real-time messaging system and Azure cloud services. Beyond his technical prowess, Sujay is deeply committed to leadership and mentorship, guiding engineers and early-career professionals to excel in their fields. As a former Graduate Teaching Assistant and scholarship recipient, he fosters a culture of learning, innovation, and excellence. With a global perspective and a focus on scalable, impactful solutions, Sujay is passionate about inspiring innovation, celebrating excellence, and delivering real-world results.

Divya Chakraborty is the COO and Director at SoftProdigy, driving digital transformation through AI and Agile methodologies. She partners with AWS and Azure, empowering teams and championing innovation for business growth.

Cynthia Udoka Duru has led innovative projects across various sectors, from driving cloud-native system design, automated CI/CD workflows, and infrastructure lifecycle management to architecting solutions, contributing to digital health, finance & maritime cybersecurity, enabling exponential growth, improving infrastructure efficiency, and supporting award-winning innovation across Africa and Europe.

With over 20 years in data, AI, and analytics, I work at the intersection of Snowflake, cloud architecture, and applied machine learning to turn complex data into production-grade systems that drive real business outcomes. My background spans business intelligence, data engineering, and data science, so I’m comfortable owning the full lifecycle from data ingestion and modeling through to dashboards, AI services, and executive-facing insights.​ I specialize in building scalable data platforms on Snowflake and modern cloud stacks, focusing on performance, governance, and reliability. This includes designing robust architectures, streamlining ETL/ELT, and using Snowpark and native apps to power advanced analytics, real-time decisioning, and privacy-conscious ML.​ I’ve delivered machine learning solutions for fraud detection, risk scoring, real-time monitoring, and customer segmentation, often introducing MLOps practices so organizations can move from ad-hoc experiments to stable, enterprise-grade AI. I’m particularly interested in federated learning, agentic AI, and privacy-preserving analytics, where cutting-edge methods meet real-world governance needs.​ Beyond my core role, I contribute as a mentor, advisor, and technical voice across AI and data communities, including industry advisory work, startup mentoring, and collaborations with universities and innovation agencies. I enjoy speaking, judging, and writing about data platforms, Snowflake best practices, and responsible AI because they create a multiplier effect helping many teams accelerate their journey.​ Ultimately, I aim to be recognized as a global leader in AI, machine learning, and data engineering someone whose systems, guidance, and ideas help organizations adopt data and AI responsibly at scale. I’m especially motivated by roles where I can influence strategy, guide high-impact projects, and help shape the next generation of data and AI talent through mentoring, advisory boards, and collaboration across industry, academia, and the startup ecosystem. I’m also deeply committed to continuous learning experimenting with new architectures, contributing to emerging practices, and translating cutting-edge research into pragmatic solutions that teams can implement and sustain in production.

Ganesh Ariyur is a global enterprise technology executive and a Top 100 Digital Adoption Leader for 2025. He is known for delivering more than $500M in measurable enterprise value through large-scale digital transformation, enterprise systems modernization, cloud strategy, artificial intelligence adoption, data governance, & enterprise architecture leadership. His work spans more than 90 countries across Fortune 500 organizations, private-equity owned companies, and highly regulated industries. Ganesh serves as the Global Head of Enterprise Technology Strategy and Transformation at Gainwell Technologies, a $3B healthcare technology organization. He directs modernization programs across SAP S/4HANA, Oracle Cloud ERP, PeopleSoft, cloud platforms on AWS and Azure, enterprise applications, reporting and analytics, generative AI, intelligent automation, enterprise architecture, IT governance, and cybersecurity, aligned with operating models. His programs have delivered multi-million-dollar cost savings. He has directed enterprise portfolios valued at more than $1B. He has unified 450-plus legacy systems, led technology programs supporting more than $30B in M&A value, and guided organizations through complex TSA exits and carve-outs. Ganesh brings deep expertise in artificial intelligence-enabled operating models, multi-ERP modernization including SAP S/4 HANA, Oracle Cloud, & Workday, cloud strategy and FinOps, enterprise architecture, data, infrastructure, cybersecurity improvement, data quality & analytics modernization, robotic process automation & intelligent automation, shared services/global business services, organizational design, and long-term value creation. His people-process-technology approach led to his being named a Global Top 100 Digital Adoption Leader. He is a Certified AI Business Transformation Practitioner & a Certified Technology Innovation Practitioner. He is also a member of the Forbes Technology Council. He was publicly recognized for global transformation leadership when he was featured on billboards across Germany during a major enterprise program at Bayer. Ganesh is known for partnering with boards, CEOs, CFOs, & private equity operating teams. He aligns technology strategy with growth objectives, cost discipline, compliance needs, & long-term enterprise value. Based in Atlanta, he is regarded as a CIO leader who turns complexity into clarity and who consistently converts technology investment into measurable business outcomes.

I’ve been working in data and AI for more than 10 years, leading teams and building systems that help businesses actually get value out of their data. At Innowise, I head the Big Data, AI/ML, and Python departments, which means I set direction for our projects but also stay hands-on with architecture, data workflows, and the tough technical decisions. Instead of just listing tools, I’d say my strength is knowing how to choose and combine them to solve real problems. Whether it’s Spark, Databricks, Snowflake, or cloud platforms like AWS and Azure, I treat them as building blocks, not buzzwords. I’ve worked in eCommerce, fintech, gaming, and manufacturing, and what I enjoy most is seeing messy, scattered data turn into clear insights that actually change how a business works. Outside of work, I’m into sports and racing. I like the mix of speed and strategy. I’m also fascinated by physics and technology, especially where they overlap to shape the future of AI and data.

As a software engineer at Featured, I focus on utilizing LLMs and other techniques to ensure Featured runs as smoothly as possible. I use novel applications of LLMs and other generative AIs to automate routine business operations.

Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in C#, Azure, .Net, SQL, C++ and Databases. Strong engineering professional with a BSc Computer Science focused in Computer Science and Finance from University of the Witwatersrand.

An AI Architect experienced in launching GenAI, and Agentic solutions for Fortune 50 companies. Worked with Kaggle, H2O.ai, Nestle, DataRobot, Nvidia on enterprise Gen AI, LLMs, and Agents

Jerry Ward is a Founder and Chief Technology Officer at Viscosity.AI, where he leads the integration of data, design, and automation to help organizations transform complex systems into human-centered intelligence. With over two decades of experience spanning energy, finance, healthcare, and enterprise technology, he has guided large-scale initiatives in cloud architecture, ERP modernization, and AI-driven transformation. Known for blending technical depth with strategic design, Ward’s philosophy is simple: the best systems don’t replace people... they amplify them. His work has been featured in publications including Consultant Magazine and CIO Grid, where he’s shared insights on digital adoption, stakeholder alignment, and the future of intelligent operations. When he’s not architecting data ecosystems, Ward writes and speaks about how organizations can out-design resistance, align human creativity with machine precision, and turn transformation into lasting advantage. “You don’t fight the process... you out-design it.”

With over 20 years of experience, I design and deliver enterprise-grade solutions that integrate architecture, data, and automation at scale. My focus is on helping organizations solve complex business challenges through secure, future-ready technology frameworks.

I’m a ML Engineer with over 3 years of experience in implementing AI and Machine Learning solutions in the QA industry. Proficient in leveraging Python libraries such as TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and OpenCV to drive intelligent test automation and data-driven decision-making for mobile and web applications. Demonstrated success in integrating advanced technologies like YOLO and Selenium to build robust, auto-healing frameworks and enhance test efficiency. Strong R&D background with a focus on innovation in Python-based networking, image processing, and data scraping. Adept at collaborating with cross-functional teams to deliver scalable, automated testing solutions that adapt to evolving application environments and improve software quality.

Translate research into impactful engineering with language models for FreshChat and Freshdesk. Deployed multilingual and multimodal features to over 100 clients across multiple regions on the FreshWorks Cloud platform handling monthly traffic of millions of chats and tickets.

Mathematician turned AI-researcher using the world's largest supercomputer(s) to build, validate, and deploy AI models to areas of national interest including fundamental science, energy, health, and security.

Naga Santhosh Reddy Vootukuri, a seasoned professional with over 17+ years working at Microsoft, reflects on his journey from India to the USA. Graduating from Sreenidhi Institute of Science and Technology in 2008, he now serves as a Principal Software Engineering Manager for Azure SQL. His role involves leading his team through software development cycles, ensuring successful product launches. Currently, Naga focuses on a significant initiative in Azure SQL Deployment, emphasizing high availability for SQL customers during feature rollouts. Previously, he managed Master Data Services (MDS) within SQL Server, gaining community connections and contributing actively to Microsoft forums. Currently his focus is mainly on AI LLM's and he shares his knowledge through detailed articles. Aside from technical responsibilities, Naga engages in Microsoft hackathons as judge and mentors junior engineers, finding fulfillment in guiding their career paths. He also champions diversity and inclusion, advocating for equality within the tech industry. Naga sees himself not only as a technical leader but also as a catalyst for positive change at Microsoft. He was featured on several media articles including yahoo, Aol, MSN, Business insider, jotforms, informationweek to name a few.

I am the VP of Development and Senior Architect with over 10 years of experience in software development and architectural design. My expertise lies at the intersection of innovation and execution, developing impactful strategies and architecting scalable solutions that drive business growth and elevate user experiences. I am not only a technical expert but also a strategic thinker with a keen eye for innovation. My ability to balance objectives with long-term goals allows me to drive growth and deliver value to stakeholders at every stage of the development lifecycle. As a Director of Development, I've led cross-functional teams through complex projects and delivered software solutions. As a Senior Architect, I've designed and implemented mission-critical systems. Key Skills & Expertise Software Development Lifecycle (SDLC) Enterprise Architecture & Design Patterns Microservices & APIs DevOps & Continuous Integration/Continuous Deployment (CI/CD) Agile Methodologies (Scrum, Kanban) Data Modeling & Database Management

Raj Karan Gunukula is a seasoned technology leader with 14+ years of experience driving large-scale AI, machine learning, and data infrastructure programs across fintech and commerce. He currently serves as Group Technical Program Manager at Coinbase, where he leads AI adoption across the software development lifecycle. Previously at Amazon, Raj rose to Principal TPM, founding and leading a team of TPMs supporting XXX+ engineers, scientists, and analysts to deliver flagship Generative AI and intelligent advisor solutions that scaled to over one million sellers worldwide. His career blends deep technical grounding from his B.Tech. in Electrical Engineering at IIT Dhanbad (Silver Medalist) with hands-on leadership in AI innovation, product scaling, and business transformation.