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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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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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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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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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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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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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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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Mike Vincent

Staff Software Engineer, AI at Big 4 Accounting Firm

Los Angeles, CA, USA
API Development
Cloud Computing
Consumer Apps
+12 more

Hi, I’m Mike Vincent, an American software engineer and writer in Los Angeles, California.

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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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Maxim Ivanov

Chief Executive Officer at Aimprosoft

Edinburgh, UK
AI integration
Artificial intelligence
Business automation
+3 more

Aimprosoft's CEO, company ideator, occasional cyclist, and biker. I spent over 23 years bridging the business and technology worlds, solving problems with a mix of talent, innovation, and a commitment to results. I believe the future is AI-driven, and those who invest in AI solutions now will gain the competitive advantage they need tomorrow.

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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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Kamal Rawat

seo executive at PyNet Labs

Gurugram, Haryana, India
network automation

PyNet Labs is an EdTech platform specializing in networking, IT infrastructure, and automation training. With a focus on real-world skills and career readiness, the platform helps professionals and students strengthen their expertise in areas like computer networking, cybersecurity, and network automation.

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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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Jerry Ward

CTO at Viscosity

Artificial Intelligence
Construction Science
Data Science
+2 more

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.”

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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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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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Priyanshu Sinha

SEO at Healthcare DMS

Patna, Bihar, India
Optimization
SEO
Wordpress

I am Priyanshu Sinha, an SEO Executive who turned a B.Com degree into a passion for digital dominance. Stepping into this field as a fresher was one of my best decisions—it’s been a journey of learning, growth, and mastering the art of ranking. I love singing, enjoy cartoons, and take pride in executing projects with precision. After all, SEO is a game, and I play to win—stealing competitors' rank like a pro!

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Swagata Ashwani

Principal Data Scientist at Boomi

Agile Methodologies
Algorithms
Apache Spark
+2 more

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.

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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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Showing 20 of 954 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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Cybersecurity
IT Governance
Software Architecture
Open Source Software
Cloud Computing
Software Licensing
Software Maintenance
Technical Support
Network Management
Software Performance