Hire the Top 3% of Snowflake Developers in 48 Hours

Neal is a seasoned data engineer with strong quantitative skills and experience over the software lifecycle, including data pipelines, big data, investment risk, software architecture, and tech debt management. He is proficient in Python, SQL, AWS, Snowflake, Airflow, R, and C++ and skilled in data visualization using Apache Superset, AWS QuickSight, ggplot2, and Shiny. Neal holds a PhD in mathematics, an MS in operations research from UCLA, and a BS in applied math from Caltech.

With 10+ years of data engineering experience, Goutham has crafted scalable solutions with AWS and Azure. He has developed Azure-based ETL pipelines for Bell Canada with Power BI and implemented an ETL pipeline with Azure Data Factory, Databricks, Snowflake, and Power BI for Walmart. Goutham also used Azure ML for predictive models for the National Bank of Canada, optimized data with Azure SQL and .NET, and created AWS data lake architectures with RDS, S3, Glue, and Tableau at HSBC.

Pawan is a data engineer with 9+ years of experience in data warehouse design, solution architecture, and managing offshore teams. He implements end-to-end ETL pipelines in Agile with Talend, Informatica, and PySpark and creates modern data lakes with Snowflake. Pawan also works with databases like Teradata, Greenplum, and Hive and drives informed decisions by crafting insightful visualizations with Tableau and Power BI.

Prapti has four years of experience in business intelligence and retail analytics. She has a solid background in data analytics, data warehousing, and business intelligence. Prapti worked with multiple international retailers worldwide to provide them with end-to-end data warehouse implementation and top-notch analytics.

Mabrouk is a data warehouse architect with twelve years of experience, and he enjoys his job like the first day. He has hands-on experience modeling and developing data warehouses on top of leading systems like SQL Server, Google Cloud BigQuery, Snowflake, and Databricks. Mabrouk uses ETL vendors like Informatica and Talend for data integration, as well as Python scripting and Apache Spark. He is skillful in using SQL and the data build tool (DBT) for data transformations.

Jake is a data engineer experienced in public companies, mid-size private companies, and startups. His past accomplishments include migrating data warehouses to Snowflake, building frameworks to ingest data from hundreds of third-party sources, leveraging DBT tame data modeling, lineage, and documentation, leading data quality and alerting efforts, and teaching online Snowflake courses with Pearson and O'Reilly. Jake is passionate about scaling data systems that empower business decision-making.

Alvaro is a data engineer with over seven years of experience working on ETL pipelines and databases. He is a certified MCSA SQL database developer with expertise in Azure, Databricks, Python, Airflow, and Snowflake. Alvaro has engineered data solutions for banking, credit card, pharmaceutical marketing, and oil companies. His work has significantly increased revenue, cut expenses, and reduced processing times.

Sean is a data professional with over 25 years of experience. He has designed and architected dozens of end-to-end solutions across a wide range of technologies in mission-critical settings in industries like health, aerospace, finance, logistics, and retail. He has a master's degree in data engineering and a bachelor's in economics and was certified in data analytics at Cornell University. Sean also has a YouTube channel on data engineering techniques with 10,000+ subscribers.

Hassan is a professionally qualified developer with over ten years of overall industry experience in software engineering, data architecture, data warehousing, ETL/ELT, feature engineering, database optimization, business intelligence, and consulting. He loves using different tools and technologies, including AWS, Snowflake, SQL databases, Python, Apache software, Docker, and GitLab. With his experience and determination, Hassan will be a great asset to any team.

Khalid is a seasoned data professional with 25 years of industry experience. His expertise includes data architecture, data engineering, modern data warehousing, big data, and analytics. Khalid is experienced in Microsoft Azure and Fabric, Snowflake Cloud Data Platform, Neo4j/graph databases, and GenAI. Additionally, he is skilled with SQL Server and Oracle database technologies. Khalid can speak fluently in English and is a true team player.

Teja is a senior data engineer with seven years of experience building robust and scalable data pipelines for clients like Ladbrokes Coral and Mohegan Sun. He specializes in setting up data pipelines from scratch, migrating data pipelines from one ETL tool to another, and handling migrations from on-premise data warehouses to the cloud. Teja is a dedicated professional with the drive and skill set to embrace new challenges and provide clients with the best solutions.