Hire Freelance Apache Beam Developers and Engineers
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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Ramtin Rassoli
Ramtin received his master's degree in applied computing from the University of Toronto in 2018, and since then, he's been working as a data scientist. He has conducted research on extracting behavioral patterns of users and activity recognition in the context of a smart home. At ecobee, his major contributions have been around helping to build their data services and models at a large production scale.
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Mohamed Messaad
Mohamed is a site reliability and data engineer with expertise in Go back-end development and writing highly scalable microservices. He assisted startups in hyper-growth, designed pipelines to consume high throughput of 1,000 events/second, and optimized Elasticsearch indexes with over a hundred million documents. He decreased a large-scale application's latency from 40 seconds to 50 milliseconds. Mohamed optimizes projects that require speed and stability despite large amounts of data.
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Roberto Barboza
Roberto is a software engineer with over a decade of experience primarily dedicated to building efficient data-processing pipelines in both hardware and software. He's worked in a range of industries/fields (media, NLP, defense, electronics) and tools/technologies (BigQuery, Python, VHDL, SQL, FPGA). Besides a demonstrated history of delivering solutions that vastly improve performance, Roberto brings an analytics-driven mind and a problem-solving attitude to any challenge.
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François Le Lay
François is a seasoned leader with experience building data platforms and machine learning solutions at major technology companies and startups in B2C and B2B settings. François has spent seven years at Spotify building data infrastructure teams as a manager and leveraging machine learning techniques to improve the music catalog as a staff engineer.
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Anish Chakraborty
Anish is an experienced software engineer with very deep knowledge of back-end systems, databases, data warehousing, data engineering, and building data-driven products and services. Although he's self-taught in SQL, Scala, and Python, Anish has previously won international SQL coding contests.
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Satish Basetty
Satish is a senior data engineer with over 14 years of experience in database and data warehouse projects in both on-premises and cloud. He is an expert in the design and development of ETL pipelines using Python and SQL over Cloud Dataflow orchestration with Apache Airflow. He automated processing data of royalties and copyrights for Universal Music Group. Satish has provided solutions encompassing reports and visualizations, real-time data processing, migrations, and performance tuning.
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Stanislav Temchenko
Stanislav is a passionate software developer and technical lead with five years of experience. Skilled in creating architecture from the ground up, migrating projects to the cloud, and redesigning existing systems, he is enthusiastic about programming and product development. Stanislav easily adapts to new technologies and environments, always keen to take on new challenges and leadership responsibilities.
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Jia Jun Koh
Jia Jun is a self-driven tech enthusiast specializing in back-end developments using Go, Python, and Node.js. He enjoys writing automation scripts and building CI/CD pipeline extensions to ship software safely and quickly. Jia Jun is also a team player who believes codes that others can easily understand are the best. He is particularly interested in leveraging his skills and expertise in Go in scalable and distributed systems where good code and architecture matter.
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Zhihao (Alex) Zhong
Alex is a senior technical data engineer whose areas of expertise include ETL pipeline design, performance tuning, metadata management, data modeling, data warehousing, business intelligence design, data profiling, and data visualization. He has helped an eCommerce company, Loblaw Digital, architect a data pipeline from a microservice back end to a data warehouse in GCP as part of the data science platform. Alex manages more than 2,000 tables and moves more than 2TB of data daily in real time.
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Igor Gorbenko
Igor is a data engineer and cloud architect with nearly 13 years of solid experience building high-load reliable systems, DWH, ETL, and machine learning pipelines for Gazprombank, Stanford, GlaxoSmithKline, Fujitsu, AbbVie, and Royal Mail. He is a cloud-agnostic engineer specializing in Flask, FastAPI, and database integration. Igor is also keen on building GCP-based systems to leverage businesses to work more efficiently, gain more flexibility, and allow a strategic advantage.
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