Hire remote data engineers near San Diego or in a similar time zone
Hang Guo
Hang is a skilled data and database engineer with a proven track record in writing programs and extracting valuable insights from data. He excels in back-end database development, ETL, data pipeline creation, and business intelligence solutions. Proficient in AWS technologies such as Lambda, Step Functions, EMR, DynamoDB, SES, and API Gateway, Hang is adept at working with on-premise databases (SQL Server, PostgreSQL), cloud databases (AWS Redshift), and big data technologies (Spark).
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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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Matthew Warkentin
Since 2014, Matthew has been working professionally in the fields he loves, software and data—culminating in him co-founding the Rubota corporation in 2017. Before that, he spent the past decade at Cornell University conducting scientific research specifically in statistical and biological physics. All in all, Matthew is an engaging, intense communicator with a passion for knowledge and understanding.
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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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