Hire remote data engineers near Las Vegas or in a similar time zone
Ram Verma
Ram has over four years of professional experience architecting and leading the development of engineering solutions with an emphasis on object-oriented design and software infrastructure debugging. He specializes in Java and Python back-end development of large-scale systems, cloud migrations, microservices, and data pipeline processes. Ram's expertise includes developing business plans and requirements specifications and leading technical projects with strong inter-team communication.
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Derek Owens-Oas
Derek has a PhD in statistical science from Duke and has worked as a data scientist and software developer at Xylem. He's the founder of Tech Smart Magic. Published in the Journal of Classification and a TA of the year, he's an expert in research and teaching. He provides interactive apps, visualizations, and reports. Derek's Python and R programming, top AI and ML methods, and ability to communicate make him an asset to any company. His specialties include text data and online social networks.
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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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Daniel Stahl
Daniel is a full-stack developer with nine years of real-world experience in financial modeling and analytics and three years of experience developing big data applications in Spark and Hadoop. He currently leads a machine learning operations team that designs continuous delivery services for machine learning applications. While professionally focused on data and analytics, Daniel has a passion for building delightful interfaces to enable the broad consumption of complex mathematical models.
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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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Josh Chapman
Josh is an engineering leader and architect with a special passion for data. He's been building data warehouses and reporting platforms for top retailers and eCommerce startups for over a decade. He loves learning and meeting new teams, and he's well-versed in the latest trends and tools in data.
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Aaron Silverman
Aaron is a team player who will throw himself at an interesting problem and not give up until it is solved. He is a quick read and can learn new technologies and workflows extremely fast. Aaron holds a Bachelor's degree in mathematics, is conversationally fluent in German, and speaks and reads Japanese at an intermediate level.
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Pablo Estrada
Pablo is a software engineer with experience with many big data technologies, primarily Apache Beam, but also BigQuery, Kafka, Flink and Spark, PubSub, and Kinesis. He worked as an open-source developer on Apache Beam and thus comprehends it deeply. He helped many Beam community members onboard and written various integrations. Pablo believes good software starts from good testing and good observability. If we build systems starting from that, we can get more reliable results.
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Sachin Sharma
Sachin is a senior developer and AWS Certified Solutions Architect with expertise in data engineering, back-end API development, and DevOps. He has nearly a decade of experience working in Python, PySpark, and cloud environments, particularly AWS, and exposure to DevOps tools like Terraform, CI/CD, and Docker. Sachin is a results-driven professional, always ready to leverage his technical and management skills for upcoming opportunities.
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Shaun Brown
Shaun is a data and software professional with more than five years of experience in software engineering, data analytics, statistics, and implementation. He is eager to keep learning new skills and adding tools to his metaphorical tool belt. Shaun's ability to integrate into any work environment and quickly adapt to any tech or data stack makes him an immediate asset to any team.
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