Hire remote Tableau developers near San Francisco or in a similar time zone
Dev Sharma
Dev is a versatile data scientist and developer who specializes in building predictive AI models that are exceptionally accurate. He focuses on using statistics, deep learning, and data engineering to strategize and optimize the role of data within organizations. Dev's expertise and hands-on experience are backed by a master's degree in applied analytics from Columbia University in New York City, where he also teaches almost all facets of data science at the graduate level.
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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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Jana Dodson
In her more than eight years of experience, Jana has worked at both small and large companies and has been through many stages of growth. She has also collaborated with people across the tech industry, including executives, designers, product managers, engineers, business leaders, and marketers. Jana's job is to take loosely defined problems, design robust solutions, and find the quickest path to implementation while ensuring the solution is never a "black box" for the client.
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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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Andreas Freund
Andreas holds a PhD in applied math and has shown through his research and work experience a passion for using scientific computing to drive data-informed, impactful results. He wrote a thesis in the field of computational fluid dynamics and published two papers in high-impact journals as the first author. Most recently, Andreas has analyzed remote diagnostic data in the trucking industry to improve the performance of diesel engines.
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Udeep Shakya
Udeep is an enthusiastic and strategic senior consultant with 10+ years of experience in data warehousing and business analytics. He is adept in collaborative problem solving, risk management, and creative solutions to improve customer satisfaction and drive overall operational and business improvements. Udeep's business awareness and consulting experience helped clients to realize their business needs through IT solutions with a strategic and professional approach throughout the process.
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Gabriel Breahna
Gabriel has 30 years of experience installing, managing, and using SQL, NoSQL (key-value, columnar, graph), time-series, spatial, in-memory, and cloud databases. He's worked with 10TB OLTP databases, 10TB data warehouses, tables with 10+ billion rows, and databases with 10,000+ tables. He's built greenfield and brownfield apps, managed acquisitions, mergers, and spin-offs, and is proficient in Oracle, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Synapse, MongoDB, Cassandra, and DynamoDB.
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Innocent Musanzikwa
Inno is a seasoned data engineer and developer who's worked at IRI—a top retail data analytics company—in Africa and North America for the past decade and as a freelance consultant for the past couple of years. As a SQL and ETL developer, he has created quality data warehouses using industry-standard techniques like Kimball and DataVaults. As a data engineer, Inno has built highly robust and scalable data pipelines both on-premise and on the cloud using several latest cutting-edge technologies.
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Fernando Melchor
Fernando is a data scientist with a background in mechatronics engineering. He is passionate about cities and all the data that describes them, especially geospatial data. During his career, he designed, prototyped, and launched data products used worldwide in diverse sectors, such as automotive, government, on-demand streaming, and real estate. He has experience deploying machine learning models, data science projects, ETL processes in Airflow, and KPI initiatives in Tableau and Metabase.
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Edgar Guzman Cuevas
Edgar holds a bachelor's degree in industrial engineering and a master's degree in data analytics: This is why he enjoys making sense of data. As a business analyst at Toptal, he's developed support KPIs that helped track support operations and created a repository of dashboards, amongst other contributions. As an associate program manager at Uber, Edgar defined support processes to be executed by 500+ support agents across Latin America and managed three lines of business.
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Jose Rolando Josue
Combining the technical knowledge of a bachelor's degree in business engineering with the analytical skills of a master's degree in data science, Jose has 7+ years of experience in marketing and product analytics, business intelligence, experiment design, user journeys, and understanding the nature of customer's decisions. He enjoys learning new skills, finding creative ways of solving business problems, and helping the community by teaching future professionals how to tell a story with data.
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