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Trusted Data Engineering Experts

In today's data-driven landscape, skilled data engineers are the architects behind robust, scalable data infrastructures. Featured.com's curated directory showcases top data engineering experts who design, build, and optimize data pipelines, warehouses, and processing systems for organizations worldwide. These professionals, frequently cited in leading tech publications, offer invaluable insights on big data technologies, ETL processes, and data governance. For publishers and journalists, our directory provides quick access to authoritative voices in data engineering, ensuring your content is backed by real-world expertise. For data engineers, it's an opportunity to amplify your influence and connect with major media outlets seeking your specialized knowledge. Whether you're looking to enhance your article with expert commentary or searching for thought leadership opportunities, our platform bridges the gap between data engineering professionals and quality content creation. Explore our directory to connect with data engineering experts who can provide cutting-edge insights for your next story or project.

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Bhavesh Jaisinghani

Data Engineering Manager

Amazon Ec2
Amazon Ems
Apache Spark
+2 more

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

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Geethamanikanta Jakka

Sr.Data Engineer

Adobe Photoshop
Agile Development
Amazon Web Services
+2 more

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.

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Sujay Jain

Senior Software Engineer at Netflix

Agile Methodologies
Agile Project Management
Analytics
+2 more

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.

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Divya Chakraborty

COO and Director at SoftProdigy System Solutions

Chandigarh, India
Agine Development
AI
databricks
+3 more

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.

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Cynthia Duruemeruo

Senior DevOps Engineer at Visa Europe

London, UK
AI/ML
Business Strategy
Cybersecurity
+6 more

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.

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Ganesh Ariyur

Global Head, Enterprise Technology, Strategy & Transformation

Atlanta, GA, USA
Artificial Intelligence
Cloud Transformation
Digital Transformation
+4 more

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.

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Philip Tikhanovich

Head of Big Data and AI at Innowise

AI
AI/ML
big data
+11 more

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.

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Dave Syms

Software Engineer at Featured

Charlotte, NC, USA
Automation Engineering
Generative AI
Software Engineering

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.

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Elvin Aghammadzada

AI Architect at Nvidia x DataRobot

Boston, MA, USA
agentic ai
AI/ML
Entrepreneurship
+2 more

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

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Jay Kadam

Machine Learning Engineer at TestGrid

Anaconda
Appium
Cascading Style Sheets
+2 more

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.

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ANSHUMAN GUHA

Staff Engineer Data Scientist

A/b Testing
Algorithms
Analytical Skills
+2 more

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.

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Travis Johnston

Senior Data Scientist at Striveworks

Algorithms
Apache Spark
Applied Mathematics
+2 more

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.

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Naga Santhosh Reddy Vootukuri

Principal Software Engineering Manager at Microsoft

Seattle, WA, USA
AI/ML
cloud computing
Cloud native applications
+4 more

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.

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Raj karan Gunukula

Group Technical Program Manager at Coinbase

Seattle, WA, USA
AI/ML
Business Strategy
Digital Transformation
+7 more

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.

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Vaishnavi Gadve

Data Engineer - Healthcare & AI at CVS Health

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Ushmana Rai

Founder at TDEE Calculator

London, UK
Business and Marketing
Health and Fitness
Structural Analysis and Design
+2 more

I am a Structural Engineer with a Master’s degree in Structural Engineering from the UK and a Bachelor's in Civil Engineering from Nepal. My foundation lies in structural analysis, design, and computational modeling, with experience in designing reinforced concrete and steel structures, as well as conducting finite element analysis (FEA). I am well-versed in international design standards such as Eurocodes and British Standards, and I have a keen interest in solving complex engineering challenges. Beyond my engineering background, I have pivoted into the tech space with the creation of TDEECalculator.me, a web app focused on health and fitness. This project blends my analytical skills with my passion for digital solutions, as I leverage data analysis, web development, and user-centered design to provide an accessible tool for individuals looking to understand their Total Daily Energy Expenditure (TDEE). With a versatile skill set bridging traditional engineering principles and innovative technology, I am driven by a passion for continuous learning and problem-solving. I enjoy exploring new ways to apply my expertise to diverse challenges and industries, and I am eager to collaborate on projects that have a positive impact on both engineering and technology.

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Anant Wairagade

Senior Engineer(FinTech)

Enterprise Integrations
FinTech
Identity and Access Management

Anant Wairagade is a Technical Lead with over 20 years of experience in Software Engineering enabling IT organizations with digital transformation and helping them become secure organizations. In his more than two decades long career, Anant has worked for financial services companies where he led the design and development of several successful products in the Security, Finance and CRM domain. Beginning of his career, Anant worked as a Technology consultant for major Financial Services companies and Banks. Anant is a thought leader in Enterprise Integrations solutions. He is expert in API based data connector development, Kafka and Messaging Middleware. Anant is also an active member of several Industry Open Standard communities. He is an IEEE Senior member and serves as Program Committee Member for several IEEE and other IT conferences.

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Kishore Bitra

Lead - Collaboration Engineering at Baltimore City Office of Information Technology

Frederick, MD, USA
Azure
Cyber Security
Email Security
+2 more

Kishore Bitra is a veteran in the IT industry with over 15 years of experience, specializing in end-user technologies, Cloud Infrastructure, Data Center operations, and Enterprise Security. Currently, he serves a crucial role in local government in the United States. A proven leader, Kishore has successfully spearheaded major IT transformations, including complex infrastructure migration projects, ransomware recovery efforts, and system integrations during corporate mergers and acquisitions. Beyond his professional work, he is passionate about demystifying advanced security and AI adoption, making them practical for organizations from local governments to SMBs. He regularly shares real-world insights through writing, speaking, and volunteering on crucial topics like data protection, cyber resilience, and secure finance operations.

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Yos Riady

Chief Technology Officer at Formo

Singapore
Blockchain
Crypto
Data Science
+8 more

Yos is a founder and software engineer in the crypto space. He has a background in software engineering and was most recently at Chainlink Labs working on onchain building blocks for the DeFi ecosystem. At Chainlink, Yos was a staff software engineer and the technical load for Chainlink Staking (a >$1B TBL DeFi protocol on Ethereum.) Before that, Yos worked in global-scale engineering teams at Grab and PayPal. He studied Computer Science at the National University of Singapore.

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Narayan Prasath

Founder at Metaflow AI

San Francisco, CA, USA
AI/ML
Marketing
Technology

Narayan is an engineer-turned-marketer who spent nine years driving growth for San Francisco startups. He’s the founder of Metaflow AI, a platform that lets marketers build AI agents and LLM workflows to automate research, content, and outreach. Narayan works at the intersection of engineering rigor and pragmatic marketing, focusing on workflows that compound rather than one-off campaigns. He writes and speaks about AI agents for GTM, generative search, and founder-led growth.

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Showing 20 of 1037 experts

What skills should data engineering experts highlight when creating their Featured.com profiles?

Data engineering experts should emphasize skills such as database design, ETL (Extract, Transform, Load) processes, SQL and NoSQL databases, cloud computing platforms (e.g., AWS, Azure, GCP), and big data technologies (e.g., Hadoop, Spark). They should also highlight their experience with data modeling, data warehousing, and data pipeline optimization. Soft skills like problem-solving, communication, and cross-team collaboration are equally important to showcase their ability to explain complex concepts to non-technical stakeholders.

How can publishers benefit from featuring data engineering experts in their content?

Publishers can significantly enhance their content by featuring data engineering experts. These professionals offer valuable insights on cutting-edge technologies, best practices, and industry trends. By including expert quotes and perspectives, publishers can provide their readers with authoritative, in-depth content on topics like big data architecture, real-time analytics, and data governance. This not only increases the credibility of their articles but also attracts a more technically savvy audience.

What types of data engineering topics are publishers most interested in covering?

Publishers are particularly interested in covering data engineering topics that address current industry challenges and innovations. These include cloud-native data architectures, real-time data processing, data security and privacy compliance (e.g., GDPR, CCPA), machine learning operations (MLOps), data mesh architecture, and the integration of AI in data pipelines. Articles on how data engineering supports digital transformation, IoT data management, and predictive analytics are also in high demand.

What is data engineering and why is it important for businesses?

Data engineering is the practice of designing, building, and maintaining the infrastructure for collecting, storing, and analyzing large volumes of data. It's crucial for businesses because it enables them to make data-driven decisions, optimize operations, and gain competitive advantages. Data engineers create robust pipelines that transform raw data into valuable insights, supporting analytics, machine learning, and AI initiatives across various industries.

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