Data Warehousing Experts 2025

Will Turner is the Founder and Head of Data & AI at Beyond Data, an Australian consultancy specialising in insight-to-action systems, the architecture that closes the gap between what a business's data knows and what the business actually does. Headquartered in Brisbane and serving clients across Australia and New Zealand, Will and his team design, build, and run AI agents, data lakehouses, and advanced analytics with a ruthless focus on commercial outcomes, not proofs of concept. Will has successfully delivered AI and data projects for 15+ businesses across finance, manufacturing, retail, agriculture, healthcare, construction, insurance and digital marketing. His work touches thousands of people each day. His key insight, that SaaS delivers actions without insight, and analytics delivers insight without action, is gaining traction with Australian technology leaders as they start to adopt his insight-to-action systems methodology. With more than a decade in data and AI, a post-graduate qualification in Data Science from James Cook University, and multiple Head of AI roles, Will brings an authentic human lens to production AI. He is the Amazon-bestselling author of Even YOU can learn Data (2022) and a 2017 Queensland Young Achievers Award nominee. Will writes and speaks on AI strategy, data leadership, and why most AI projects quietly fail.

I turn complex data into clear decisions — building platforms that don't just work, but transform how organizations think

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.

Shwetha Babu Prasad is a data security and privacy professional, speaker, and published author with nearly a decade of experience in information security. Her work focuses on advancing practical, engineering-driven approaches to protect sensitive data and reduce systemic data exposure risks. She has experience implementing data protection controls across enterprise systems to mitigate the risk of sensitive data exposure. She is the author of Why Websites Fail at Data Protection and Privacy and Data Security in the Age of AI. An active member of ISC2 and the Information Systems Security Association, she contributes to industry initiatives aligned with National Institute of Standards and Technology frameworks through the ISSA Resilience Special Interest Group. Her work advances practical, engineering driven data protection and privacy capabilities, strengthening cyber resilience across enterprise and critical infrastructure environments.

A data-analytics entrepreneur, thought-leader and the Founder & CEO of Perceptive Analytics - a company that helps businesses turn raw data into actionable insights, smart marketing decisions, and clear visual analytics. With an MBA from ISB and advanced training from Stanford’s Graduate School of Business, he brings together strong academic grounding and real-world business experience. Prior to founding his own venture in 2010, he sharpened his analytical and consulting skills at top firms including Infosys. Over the years, he has helped global clients, including Fortune-500 firms unlock value from their data, driving growth, optimization, and intelligent decision-making. Under his leadership, Perceptive Analytics has been recognized among the “top analytics companies to watch.” Passionate about data, strategy and storytelling with numbers, he firmly believes in empowering businesses to make smart, evidence-based decisions.

I’m a Data Intelligence Engineer with 14+ years of experience designing and optimizing data platforms, pipelines, and analytics solutions. I specialize in scalable ETL/ELT workflows, ML integration in DevOps, and advanced data wrangling using graph technologies and knowledge graphs. At Dell, I’ve led automation efforts that improved ETL efficiency by 30%, implemented enterprise-wide data strategies, and ensured data integrity across complex systems. My technical toolkit includes Python, SQL, Spark, Airflow, Kafka, dbt, and cloud platforms like AWS and GCP. I’ve delivered impactful data governance, quality monitoring, and BI solutions at RAPP, Tech Mahindra, and Ericsson—driving insights across marketing, finance, and telecom sectors. Beyond the code, I’m a self-motivated, goal-oriented professional who thrives on solving complex challenges. I’m also a nature lover who believes in balance—whether it’s in data systems or life outdoors.

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’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.

Anusha Kovi is a Business Intelligence Engineer at Amazon, with 6+ years of experience. She builds and scales enterprise-grade data platforms that power analytics, operational intelligence, machine learning, and data-driven decision-making across large, distributed systems. Her specialty is end-to-end data engineering: designing ETL pipelines and analytics-ready data models, orchestrating workflows with Apache Airflow and AWS, building cloud data warehousing solutions, integrating MLOps capabilities, and delivering production data pipelines and dashboards that turn raw data into clear insights and measurable business outcomes. Beyond her engineering role, Anusha is an IEEE-published author, a technical writer on DZone and Hackernoon, and a conference speaker with work accepted at international research conferences and industry events. She focuses on the evolving intersection of AI and data engineering, helping organizations design resilient, AI-ready BI infrastructure and guiding engineers to thrive in an AI-native future, while staying deeply committed to community impact. She has mentored 200+ students, is a frequent judge and evaluator for student and industry innovation programs, and is passionate about making data engineering more accessible, advancing women in technology, and amplifying knowledge-sharing through writing, speaking, and mentorship. Google Scholar: https://scholar.google.com/citations?user=3pwdexMAAAAJ&hl=en Dzone: https://dzone.com/users/5466033/anukovi.html Hackernoon: https://hackernoon.com/u/anushakovi

WHSuites is a fully integrated lead management software designed to help businesses capture, track, and nurture leads efficiently. By automating follow-ups, improving response time, and centralizing customer data, our CRM is capable of making multiple automated reports at same time. Businesses like Pharma companies, solar, IT firms, and real estate use our products to grow their businesses and automate tasks to save time.

ERP Implementer and Consultant with 15+ years of experience delivering cloud-based ERP solutions for manufacturing, construction, and service industries. Provides insights on ERP implementation, AI in enterprise systems, and business process optimisation.

As a strategic advisor, alliance builder, and subject matter expert with over two decades of experience, I help global enterprises and public sector organisations navigate the complexities of data management, eDiscovery, and cyber risk in an era of accelerating digital regulation and unstructured data growth. My background spans leadership roles in enterprise technology sales, consulting, and service delivery, focusing on data-intensive environments where compliance, litigation readiness, and operational intelligence are critical. With hands-on experience in incident response, breach investigation, and regulatory frameworks like GDPR and NIS2, I’ve helped organisations transform reactive data chaos into strategic business insight. Through my consultancy work, I lead programmes that address the core challenges enterprises face today: outdated storage architectures, fragmented data strategies, and the proliferation of ROT (redundant, obsolete, and trivial data) and “dark data” information collected but never utilised. I enable clients to regain visibility, reduce risk, and comply with strict data retention requirements such as GDPR’s 7-year rule, DSARs and Right to be Forgotten. My expertise is underpinned by next-gen tools like Lightning IQ capable of indexing up to 1.3 billion files per hour enabling scalable, low-impact analysis of petabyte-scale unstructured data environments. This supports advanced use cases, from compliance and litigation readiness to AI enrichment, ESG reporting, and cloud transformation. Whether advising C-level stakeholders, partnering with global system integrators, or leading high-impact data optimisation projects, my goal is always the same: to convert complexity into clarity, and risk into opportunity.

I am a multidisciplinary business owner and consultant with expertise spanning recruitment, HR strategy, technology, and creative design. As the founder of Talent Shark (https://www.talentshark.ae), a recruitment and HR consulting firm in Dubai, I help organizations across industries — from healthcare and IT to corporate and creative sectors — build high-performing teams and implement solutions that drive business growth. What sets me apart is the ability to bridge people, business, and technology. With a background in talent acquisition, data science, IT solutions, and graphic design, I bring a unique perspective to problem-solving, blending strategic HR insights with technical and creative innovation. This allows me to not only connect companies with the right talent but also support them in areas like digital transformation, workforce automation, and brand development. I am passionate about building scalable systems, improving processes, and helping businesses unlock new opportunities through a mix of human expertise, technology, and creativity. Expertise & Skills Recruitment & Talent Acquisition (Healthcare, IT & Multi-industry) HR Consulting, Payroll, PRO & Compliance Data Science & Business Analytics IT Solutions & Digital Transformation Graphic Design & Creative Strategy Employer Branding & Marketing Support Training & Development Programs Process Improvement & HR Automation

The sun ☀️ and wind 💨 are free and infinite resources, yet their inherent intermittency creates volatility that costs the sector billions annually, severely complicates market strategies, and poses a constant risk to the electrical grid that powers our world. At Steadysun, we have made resolving this paradox our core mission. We turn this chaotic uncertainty into a measurable, strategic, and competitive advantage. Our approach is built on a radical rejection of simplicity. While most forecasting solutions rely on a limited number of meteorological models, we view this as fundamentally insufficient—akin to piloting an aircraft while looking through only one window. We have engineered an AI brain 🧠, a proprietary and powerful intelligence designed to operate with a full 360-degree vision. This engine is continuously fed by an unparalleled diversity of data in the market. It aggressively aggregates and analyzes information from over twenty specialized meteorological models, ranging from global experts to hyper-local specialists, leveraging the strengths of each. Crucially, we augment this with real-time data from satellites 🛰️ tracking cloud formation, live readings from ground sensors providing on-the-spot conditions, and years of deep historical datasets that serve as our AI’s memory, allowing it to learn from and eliminate past errors. This massive data fusion is our signature: the multi-model approach. It enables us to detect weak signals that others miss, delivering power generation forecasts of exceptional reliability and predictive accuracy. For our clients, this advantage is profound and tangible. It grants power producers the ability to sell their energy at optimal prices 📈 and plan maintenance without sacrificing peak production. It equips traders with the confidence required to manage risk and capitalize on volatile market opportunities. And for grid operators, it provides the indispensable tool needed to anticipate every ramp event and guarantee security of supply for everyone. We are not just selling data. We are selling confidence—the confidence necessary to invest massively in and operate a sustainable, reliable, and profitable energy future. 🚀

My focus areas are Health informatics, Machine Learning, and Design-led engineering. I bring 7+ years of experience in Data Science, Software Engineering and Risk analytics from the United States and India.Currently working as a Data Science Lead with extensive experience in platform integration using advanced data mining and machine learning in Python, SQL, R and data engineering in Snowflake, Apache Spark and Hadoop.Technical Skills:‣ Programming languages- Python, R, Java, C/C++,SAS‣ Advanced Analytics‣ Statistics & Probability‣ Big Data - Apache spark , Hadoop‣ Machine Learning -Specialties: Time Series Modeling, Anomaly Detection,Data Modeling,Data Mining, Feature Engineering and Natural Language Processing‣ Database Management - Teradata SQL, Amazon Redshift, Snowflake‣ Data Visualization - Tableau, Power BI‣ Web Applications - RShiny and Flask‣ Tools - AWS, Google Analytics, Git, BitBucket, MS OfficeI am interested in innovation-driven engineering. I look forward to connecting with you.

Analytics leader experienced in enhancing data driven decision making by creating new data products and services involving different domains in supply chain like finance, operations, sustainability, marketing, and corporate strategy.

Shilpi Yadav is a Technology Leader and Solution Architect with nearly two decades of experience designing enterprise-scale data integration and hybrid-cloud modernization platforms. She specializes in large-scale SAP ecosystem integration, AI-enabled ETL optimization, and cloud-native data engineering using various platforms. At IBM, she serves in a key technical leadership capacity as a Senior Architect on global transformation initiatives. She contributes to one of IBM’s largest and most complex enterprise ERP modernization programs, supporting over 150,000 users across 175+ countries and integrating hundreds of enterprise systems and multi-terabyte transactional platforms. This program supports approximately 40% of IBM’s annual global revenue, making it one of the most business-critical systems within the organization. This program has been designated internally as a flagship modernization initiative and is regularly referenced as a showcase for external client engagements, directly contributing to IBM securing additional enterprise transformation projects by demonstrating proven large-scale ERP and hybrid cloud modernization capabilities. She has architected more than 200 enterprise integration interfaces, engineered numerous reusable ETL and automation frameworks achieving ~90% component reuse and reducing integration development timelines by 40% and 10% reduction from AIOps through automation with event correlation,deduplication, and alert management. These Midlleware frameworks significantly reduced engineering effort, accelerate deployments, and improve operational reliability across global systems. Her frameworks have been recognised and adopted by enterprise teams to improve observability, security, and operational efficiency in large-scale data platforms. Shilpi is also an active researcher and thought leader in hybrid cloud architecture, AI-driven data pipelines, and enterprise automation. She has authored multiple research papers and whitepapers on topics such as ERP modernization, AI-optimized ETL pipelines, and intelligent monitoring frameworks, and her work has influenced both academic and industry communities. Beyond her technical work, she is passionate about mentoring engineers, contributing to professional communities, and advancing innovation in data engineering and enterprise AI. She frequently participates as a reviewer, session chair, speaker in international conferences and technical communities, helping bridge the gap between enterprise practice and emerging research.

I’ve spent the last decade helping eCommerce and DTC brands expand internationally by making logistics simpler and more strategic. My expertise is in global supply chains, cross-border fulfillment, and navigating the curveballs of tariffs, customs, and market expansion. Today, I’m the Co-Founder of Wayfindr, a 4PL logistics company based in Hong Kong. I work with ambitious eCommerce brands and established global retailers to streamline fulfillment, reduce costs, and unlock new markets worldwide. Outside of work, I’m a regular podcast guest and speaker, and I love breaking down complex logistics into practical takeaways that founders and operators can actually use. Fun fact: I originally trained as an actor and even appeared as an extra in The Lord of the Rings. These days, I use that same storytelling instinct to make supply chain strategy engaging and easy to understand.