Most Recommended Data Migration Experts

As a Cloud Data Engineer, I specialize in designing and implementing scalable data pipelines, data warehouses, and data lakes. I have a strong understanding of data modeling techniques and warehousing principles, which I use to build efficient, high-performance solutions. I’m always energized by new challenges that require a mix of technical strategy and creative problem-solving. Whether I’m designing a new reporting data source or finally perfecting a home organization project, I’m driven by the same goal: creating systems that are as efficient as they are reliable.

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

I'm a Senior Data Engineer with 10+ years building production data platforms, currently leading a SOX and HIPAA-compliant Databricks Lakehouse on AWS at EverCommerce. The work spans consolidating data across 45+ operating companies on AWS, Azure, BigQuery, and Redshift into one governed source of truth for finance, billing, and executive reporting. A few things I've shipped recently: re-architected BigQuery dbt models into incremental merge chains and cut per-run cost by ~99.85% (projecting $113K in annual savings), and led an internal hackathon project on Airflow metadata observability that won 3 prizes and is moving to production. Before EverCommerce, I led an offshore engineering team at Hyundai AutoEver on a vehicle diagnostics big-data platform, owned end-to-end data engineering at Grabango (autonomous checkout retail), productionized ML pipelines at Nike with Kubeflow and SageMaker, and built CDC-driven financial datasets at Thrive Market. Happy to help on questions around: 1. Lakehouse and data platform architecture (Databricks, Unity Catalog, Delta Lake, dbt) 2. AI-ready data infrastructure for ML and GenAI 3. Multi-cloud data consolidation and post-acquisition integration 4. SOX and HIPAA compliance in data engineering 5. Pipeline cost optimization at scale 6. Orchestration trade-offs (Airflow, Dagster, dbt) 7. Streaming and CDC ingestion (Kafka, Fivetran, AWS DMS)

Andre Ribeiro is the founder of Andre On Digital, a platform focused on travel, airlines and eSIM insights for international travelers. He specializes in travel trends, airline comparisons, and helping travelers reduce costs and improve connectivity abroad. With hands-on experience analyzing traveler behavior and digital travel solutions, he provides practical insights on how people plan, book, and navigate international trips more efficiently.

I have always been passionate about technology because there is never an end to the cycle of improvement in the human-computer experience. I wrote that in 2004, and now as we move from a connected to an AI-augmented world, I am more excited than ever! My daily work revolves around my passion: Designing data-driven solutions, leading a team of talented professionals, and continuously learning.Here are my interests and passion is in the word of Data sensemaking, Analytics, B2B product development ,ChatGPT, Data Visualization.

I solve the "data gap" for scaling businesses. As the AI & Optimisation Engineer at ClonePartner, I specialise in high-stakes data migration, synchronisation, and custom integrations. I help organisations move beyond fragmented systems to create a unified, automated data architecture that fuels growth. Beyond backend infrastructure, I am deeply involved in the evolving world of Search, specifically Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO). I help brands ensure their data isn't just organised, but is discoverable by the next generation of AI-driven search engines. What I bring to the table: Data Migration & Integration: Seamlessly transitioning complex datasets across CRM and Helpdesk platforms (HubSpot, Salesforce, Freshdesk). AI & Search Strategy: Implementing SEO/GEO roadmaps that align with LLM-driven search behaviors. Process Automation: Designing technical workflows that eliminate manual overhead and technical debt. I am a proud Delhi Technological University (DTU) alumnus and a firm believer that the best technical solutions are those that solve real-world business bottlenecks. Whether you’re looking to migrate your legacy data, optimise for AI search, or discuss the future of business automation, let’s connect.

Hello, I'm a Technology Leader in Data Engineering and Architecture at Macy’s Systems & Technology with 20+ years of experience in building enterprise-scale, cloud-native data platforms and AI-driven analytics solutions. My expertise includes data engineering, distributed systems, and intelligent automation, with a focus on scalable real-time and batch processing using Cloud Infrastructure. Currently I leads enterprise data transformation initiatives enabling data democratization across various domain. Primarily my work focused on enabling organizations to leverage data as a strategic asset through scalable and efficient architectures. I have also worked previously at The Home Depot and Hewlett Packard. I am an IEEE Senior Member and an active TPC reviewer for multiple international conferences and I always committed to advancing research and innovation in AI, data engineering, and cloud computing.

Deepak Banga is the founder of Affable Web Solutions, a Digital marketing, Technology and SEO agency based in Gurugram, India. He leads SEO strategy, content, and digital growth initiatives for clients across industries, with hands-on expertise in technical SEO, keyword strategy, and organic traffic growth. Beyond agency work, Deepak is also the founder behind Fleetable, SaaS platforms built for fleet and transport management — giving him a dual perspective as both a marketing strategist and a product builder in the enterprise software space. He's available to speak on topics including SEO strategy, digital marketing for B2B and enterprise brands, and building SaaS products alongside a services business.

Sandip Patel is a Enterprise Cloud and AI Security Expert specializing in enterprise AI, agentic systems, and secure cloud platforms. With 20+ years of experience, he helps Fortune 500 organizations design and deploy scalable AI solutions that balance innovation with governance, security, and compliance. His expertise spans Generative AI, Retrieval-Augmented Generation (RAG), and emerging agentic AI architectures, with a strong focus on building private, enterprise-grade AI systems on Azure. Sandip works closely with business and technology leaders to modernize legacy systems, integrate intelligent workflows, and operationalize AI in regulated industries such as financial services and healthcare. Recognized for his ability to translate complex technologies into real-world business outcomes, Sandip regularly advises on topics including AI governance, Zero Trust architecture, responsible AI, and enterprise digital transformation. He is also an active contributor to research, open-source initiatives, and industry discussions on the future of AI and cloud computing.

Principal Data Operations Engineer specializing in data governance and cloud database architecture across regulated financial services and insurance. I built an automated classification system that labelled 1.5 million database columns and bound protection to the result, work featured by Dagster and published as a first-author IEEE paper. I can speak to sensitive-data classification at scale, the cost and accuracy tradeoffs of using LLMs for governance work, access-control architecture and how it decays, and what actually happens inside a platform team when an industry-wide breach is announced. IEEE Senior Member. 17 years in the field.

I'm a Cloud Data Platform Engineer with more than 10 years of experience building data platforms and cloud infrastructure for enterprise organizations, primarily in the financial services industry. Over the years, I've worked on large-scale data migration, cloud modernization, data engineering, and AI-ready platforms using technologies such as Google Cloud Platform, BigQuery, Apache Spark, Kubernetes, and Terraform. I'm passionate about solving real engineering problems and helping organizations build secure, scalable, and reliable data platforms that support analytics and AI. I enjoy sharing practical lessons from projects I've worked on, especially around cloud architecture, data engineering, AI infrastructure, security, and modern platform design. Outside of my day-to-day work, I'm an IEEE Senior Member and an ACM-trained peer reviewer and have served as a reviewer for SASIGD 2026 and as a judge for DSH Hacks V1. I regularly write about cloud and data engineering, have a Scopus-indexed conference paper accepted with additional papers under review, and enjoy speaking and contributing to the technology community whenever I can.

Sridhar Rangu is a Senior Program Manager and enterprise digital transformation leader with more than 20 years of experience delivering complex, high-impact technology initiatives across healthcare, automotive, and enterprise IT environments. He is recognized for leading large-scale programs that modernize legacy systems, improve operational efficiency, and align technology execution with broader business strategy. His expertise spans digital transformation, AI-enabled automation, cloud modernization, enterprise architecture alignment, infrastructure transformation, program governance, and cross-functional delivery leadership. In his current work supporting CVS Health through XSell Resources, Sridhar contributes to strategic initiatives involving enterprise delivery, cloud and infrastructure modernization, automation-driven process improvement, and large-scale transformation planning within one of the nation’s most complex healthcare environments. Throughout his career, Sridhar has built a reputation for managing enterprise-critical programs that require coordination across business, technology, and executive stakeholders. He has successfully led initiatives involving multimillion-dollar program portfolios, modernization of business-critical platforms, process optimization, vendor coordination, and governance structures that improve execution at scale. His work is distinguished by its focus on measurable impact, long-term scalability, and the ability to translate complex technical efforts into business value. Media and industry audiences may find Sridhar particularly valuable as a source on enterprise digital transformation, AI adoption in business operations, cloud migration strategy, healthcare technology modernization, leadership in large-scale IT programs, and the operational realities of managing transformation in highly complex organizations. He is especially well positioned to comment on how enterprises can modernize responsibly while balancing innovation, governance, speed, and stakeholder alignment. What distinguishes Sridhar is his combination of strategic vision, execution discipline, and deep experience navigating large organizational environments where transformation must be both technically sound and operationally sustainable. His perspective is grounded not in theory alone, but in years of hands-on leadership across enterprise programs that shape how organizations adopt technology, improve resilience, and deliver results at scale.

I'm an AWS Data Engineer with 5+ years building production-grade ETL pipelines, cloud data warehouses and migrations on AWS. I work remotely with teams worldwide and have delivered end-to-end across banking, utilities, aerospace and FMCG. My sweet spot is AWS data engineering: ETL/ELT orchestration, Redshift and Snowflake warehouses, and pipelines that are cost-conscious by default and honest about their own data quality. Recent work includes a tier-1 bank's Sybase-to-Redshift migration and cutting an AWS Glue bill without touching business logic.

With extensive experience in international relocation and mobility services, ISS Relocations helps individuals, families, and corporate employees navigate complex cross-border moves across the Middle East, Europe, North America, Asia-Pacific, and beyond. Our expertise covers international household goods moving, pet relocation, immigration support, destination services, fine art logistics, office relocations, and employee mobility programs. We work closely with expatriates, multinational organizations, HR professionals, and global talent to ensure seamless relocations while addressing regulatory requirements, customs procedures, logistics planning, and destination integration. ISS Relocations has supported thousands of successful relocations worldwide, providing insights into global mobility trends, international moving best practices, pet travel regulations, expatriate challenges, immigration processes, and destination readiness. Our specialists regularly advise on relocation planning, shipping logistics, customs compliance, housing support, and cross-border transitions for both individuals and organizations. We are available to provide expert commentary on international relocation, global mobility, expatriate living, pet relocation, immigration trends, destination services, workforce mobility, and international logistics.

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.

David Chen is the Chief Technology Officer of DataNumen, a global leader in data recovery software. With extensive expertise in software engineering and data recovery technologies, David leads the company's technical vision and innovation strategy. He oversees DataNumen's research and development initiatives, driving the creation of cutting-edge solutions that address complex data loss scenarios across various platforms. Under David's technical leadership, DataNumen has developed proprietary algorithms and methodologies that achieve industry-leading recovery rates for corrupted files across numerous formats. He directs the company's engineering teams across global offices in the UK, US, Hong Kong, Germany, and Australia, fostering a culture of technical excellence and innovation that serves clients in more than 240 countries. David works closely with Fortune Global 500 companies—including Toyota, FedEx, HP, Procter & Gamble, and Dell—to understand their evolving data protection challenges and develop tailored technical solutions. His contributions to DataNumen's SDK have been instrumental in enabling seamless integration of the company's recovery technologies into enterprise systems worldwide. Through his technical expertise and forward-thinking approach, David continues to strengthen DataNumen's position as an industry pioneer in data protection and recovery technology.

Srujana Sree Bathineni is a Lead Data & AI Platform Architect with expertise in enterprise AI, data platforms, software architecture, and technology transformation. She designs and develops AI and data enabled platforms that connect business data, automation, analytics, and intelligent capabilities with real world operational workflows. Her experience spans architecture, engineering, data, AI, and cross functional technical leadership, with a focus on turning complex technology challenges into practical and scalable solutions. She regularly works at the intersection of AI adoption, enterprise architecture, data engineering, and software development.

Saikat Bhattacharya is an Indian entrepreneur and digital transformation consultant who is known for helping businesses grow with smart and practical ideas. He is the founder of UpGrid Consulting, where he works closely with companies to improve their systems, customer experience, and digital strategy. His work is focused on making business processes simple, smooth, and more effective for long-term growth. People connect with Saikat Bhattacharya because of his clear thinking and grounded approach. He explains complex business and technology topics in a way that is easy to understand. Instead of following every trend, he believes in creating real solutions that truly help businesses move forward. Through his work, he continues to guide companies toward better growth, stronger leadership, and lasting success in the digital age.

I am a supply chain transformation leader with over 12 years of experience driving operational and financial improvements across consulting and industry roles, including Deloitte, Amazon Web Services, and Alvarez & Marsal. I specialize in helping organizations translate complex operational challenges into practical, data-driven decisions that improve EBITDA, working capital, and service performance. My expertise spans inventory optimization, procurement strategy, demand planning, and end-to-end supply chain transformation, with a focus on designing solutions that work in real-world environments. I have led multiple large-scale initiatives across industries such as cloud infrastructure, logistics, manufacturing, and consumer products, often delivering measurable cost reductions and efficiency gains. I am particularly interested in topics at the intersection of operations, analytics, and decision-making such as inventory management, supply chain resilience, and leveraging emerging technologies (e.g., AI/ML) for planning and optimization. I bring a practitioner’s perspective grounded in execution, with a focus on what actually drives outcomes in complex, fast-moving business environments.