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Want to expand your Data Engineering development team in Los Angeles? Here are some of our top remote senior Data Engineering developers in Los Angeles for you to browse, interview, and hire.
As a data engineer proficient in Power BI, I specialize in transforming complex data into actionable insights. With a background in business management, finance and data engineering, I have developed a deep understanding of how to design and implement efficient data architectures and ETL processes to deliver data and solve business problems. My expertise in Power BI enables me to create intuitive and visually appealing dashboards that provide key insights for decision-makers. I have experience working with various data sources, including relational and non-relational databases, big data platforms and cloud services. Throughout my career, I have worked with cross-functional teams to develop solutions that streamline data workflows and enhance data-driven decision-making. I am passionate about leveraging technology to solve business challenges and continuously seek to expand my skill set to stay at the forefront of emerging technologies.
Expert Python Engineer with over 8 years of experience developing robust backend systems, data analytics, QA Automation processes, and cloud-based solutions. Proficient in Python, FastAPI, Django, Flask, and various data technologies including ETL, Apache Airflow, and Tableau. My expertise extends to system programming, with substantial experience in multiprocessing, multi-threading, background tasks, and byte I/O operations. I excel at creating efficient, concurrent applications and managing complex data workflows. With a proven track record providing solutions to startup businesses and large scale corporations, I bring a deep technical skillset and a passion for leveraging technology to solve complex problems and drive business success.
IT professional with over 16 years of experience specializing in machine learning, data mining, and predictive analytics. Skilled in managing large-scale datasets—both structured and unstructured—from acquisition to validation, advanced modeling, and visualization. Proven track record in developing and deploying data-driven solutions using a range of machine learning techniques, statistical tools, and cloud technologies. Proficient in Python, R, C++, Go, and PHP, with deep expertise in SAS programming, SQL databases, and NoSQL technologies such as MongoDB and Cassandra. Extensive experience in designing data visualizations with Tableau and Looker to drive strategic decision-making.
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