Hire the Top 3% of BigQuery Developers in 48 Hours

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.

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.

Singala has 10+ years of experience in the data industry, working as a data engineer and data analyst. He has expertise in BigQuery, Data Studio (Looker), Python, SQL, Airflow, GCP, and Oracle. Singala has worked in different domains, including healthcare, insurance, media, and retail, and gained experience in various data warehouses, databases, and orchestration and reporting tools. He loves to write complex queries and can adapt to most SQL and cloud platforms.

As a PhD student of computer science, Dénes has worked as a researcher in bioinformatics at the University of Tokyo and the National University of Singapore. He has also contributed as a software engineer at Canadian Aviation Engineering (CAE). Dénes greatly enjoys using machine learning (ML) techniques to solve real-world problems and help businesses.

With over eight years in the industry, Henrique is a developer who has taken on full-stack, back-end, and leadership roles. He has extensive experience with Go, Python, the HTML stack, networking, Docker, Kubernetes, and more. A big part of Henrique's career has revolved around the web scraping business and all its techniques, such as mimicking human behavior, proxies, and data extraction. Recently he worked on distributed systems and a browser farm orchestration software on top of Kubernetes.

Fernando is a data engineer with 10+ years of experience in full-stack engineering. He has demonstrated expertise in setting up data platforms and working on DataOps and data infrastructure. Fernando recently worked as a staff data engineer for a hot scale-up in Europe, where he acted as his team's tech lead. He is also an accomplished speaker and open-source contributor.

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.

Antoine is a freelance engineer with over a decade of experience in business intelligence, data and analytics engineering, and data visualization. He specializes in building data platforms for companies that want to develop a data-driven mindset. Antoine enjoys working on projects within the data space, ideally around analytics engineering.

Faisal is a data engineer specializing in cloud data technologies like Google and AWS and end-to-end data engineering processes. From designing the architecture and building the infrastructure to developing pipeline operations, he is highly adaptable to new cloud-based, open source, or SaaS technologies. Faisal has solid experience contributing to early-stage startups by directly building end-to-end data pipelines or providing consulting services in his fields of expertise.

Edison is a seasoned BI developer and data engineer with 19 years of experience across diverse industries. Specializing in Azure and Google Cloud Platform (GCP), he excels in designing high-performance BI solutions using tools like Azure Data Factory, Python, Power BI, Tableau, Databricks, and GCP BigQuery. An expert in data architecture, dimensional modeling, and optimizing large-scale data warehouses, Edison delivers scalable, high-quality solutions backed by strong technical expertise.

With over 15 years of experience, Lincoln specializes in developing and implementing business intelligence (BI) and data warehouse solutions, SAP ERP systems, software, and web design and development. His expertise spans a wide range of technologies, including SQL, T-SQL, MS SQL Server, Oracle, data warehousing, ETL processes, MS SSIS, SSRS/SSAS, Power BI, Microsoft Azure SQL Database, Synapse Analytics, Databricks, Google BigQuery, Amazon RDS and Redshift, as well as Python programming.