Hire remote Data Warehouse developers near Orlando or in a similar time zone
Jameson Edgeworth
Jameson brings together a blend of business knowledge and mathematics. With skills in data modeling and statistical analysis, Jameson has helped companies from small businesses to the Fortune 500 understand their business operations and analyze trends through data.
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Mikhail Fishzon
Mikhail is an alumnus of Google and Lyft and a data engineer who enjoys turning real-life business problems into scalable data platforms. Over the last two decades, he has helped companies architect, build, and maintain performance-optimized databases and data pipelines. Mikhail is knowledgeable in database optimization techniques and has achieved a 99% increase in slow-running query performance.
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Peter Daniels
Peter is a seasoned data platform expert specializing in the Microsoft stack, including Azure. With skills ranging from data architecture and engineering to database administration and development, his 29 years of experience, multiple certifications, and passion for learning set him apart in addressing clients' diverse data requirements. Most recently, Peter helped a growing company migrate their on-premise data and AI estate into Azure as part of an ERP migration to Microsoft Dynamics 365.
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Benjamin Li
Benjamin has over two decades of software and big data development experience, including data modeling and data warehouse design. His active toolset includes Spark, Python, Scala, AWS, Azure, SQL, Hive, Linux, Microsoft BI solutions, C#.NET, and Java. His orientation to detail and strong analytical and problem-solving skills make him an excellent addition to any team. A kind and intentional communicator, Benjamin always produces high-quality work.
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Naman Jain
Naman is a highly experienced cloud and data solutions architect with more than six years of experience delivering data engineering services to multiple Fortune 100 clients. He has delivered on multiple Petabyte-scale data migrations and big data infrastructures via Azure Cloud, AWS Cloud, and Snowflake or DBT, creating a step order of efficiency in their use cases in many instances. Naman fundamentally believes in over-communication, establishing trust, and taking ownership of deliverables.
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Roxana Ibanez
Roxana has more than 10 years of experience advising and assisting companies and clients in data warehousing, business intelligence, data governance, and digital transformation. She understands the benefits of good communication and clean code and how a well-projected architecture helps productivity and maintainability in the long term. Roxana's extensive experience in the data domain has been proven to help leverage applied analytics to manage complex problems.
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Maxuel Reis
Maxuel is a data scientist and engineer with proven end-to-end data solution experience who quickly adapts to new technologies. He is skilled in batch and real-time machine learning, cloud computing (AWS, GCP, and Azure), big data (Hive and Spark), and data streams. He expertly combines data science and engineering for effective data management and business-aligned strategies. With an acting background, Maxuel has unique communication abilities that enhance teamwork and management.
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Jake Thomas
Jake is a data engineer experienced in public companies, mid-size private companies, and startups. His past accomplishments include migrating data warehouses to Snowflake, building frameworks to ingest data from hundreds of third-party sources, leveraging DBT tame data modeling, lineage, and documentation, leading data quality and alerting efforts, and teaching online Snowflake courses with Pearson and O'Reilly. Jake is passionate about scaling data systems that empower business decision-making.
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Jag Sandhu
Having 17+ years of data engineer/business intelligence industry experience and being a Microsoft Power BI Certified Professional, Jag has tremendous BI experience working with data at some of the top 10 Fortune companies in the world. He enjoys working with data, developing robust BI solutions for the clients to enhance their decision-making. Jag has completed many end-to-end BI projects with high-volume data and complex reporting requirements, presenting them visually as storytelling insights.
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Art Vancil
Art has 25 years of data architecture and cloud-computing consulting experience—mostly in building enterprise data warehouses. Art is an end-to-end solution architect and chief problem solver with a long history of focused execution—according to a statement of work—and successful delivery in a team setting.
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Liam Connell
Liam has nine years of experience as a machine learning engineer and engineering leader. He has worked for the past five years as a lead ML engineer in the AI/ML practice area of BCG, where he applies the latest AI and ML techniques to build products across industries and use cases. Drawing on this deep technical experience and exceptional soft skills from his time at an elite consulting firm, Liam brings delivery certainty and impeccable quality to his project execution.
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