Introducing Cohort 4 of the Astronomer Champions Program for Apache Airflow!

Vinicios is a Senior Software Engineer specializing in backend development with a passion for data. He has collaborated with data teams to deliver high-quality data pipelines, emphasizing best practices. His most recent contributions include reviewing books on Apache Airflow to ensure the accuracy and technical quality of the material.

Eldar Elnekave is a seasoned data engineer with extensive experience using Apache Airflow to build and manage robust data pipelines. He has a deep understanding of orchestrating complex workflows, optimizing processes for scalability, and ensuring seamless data integration. Eldar’s expertise lies in leveraging Airflow's capabilities to enhance automation and streamline operations in data engineering environments, making him a key asset in driving efficient, reliable workflows.

Aayush is an Advanced Software Engineer at Gartner with four years of experience using Apache Airflow®. He specializes in orchestrating complex workflows and ensuring efficient, scalable data pipelines. A tech enthusiast and problem solver, Aayush is passionate about leveraging emerging technologies to drive innovation and optimize processes, making him a key contributor in the data engineering space.

Triyanshi is an AWS Cloud expert with four years of experience, specializing in orchestrating complex ETL pipelines using Apache Airflow®. She leverages Airflow's DAGs, Operators, and XComs to streamline data workflows, ensuring smooth integration with AWS services like Redshift, Glue, and S3.

Triyanshi excels at automating processes to manage large-scale data transformations while troubleshooting and optimizing workflows for peak efficiency. Her hands-on experience with Airflow in AWS environments makes her a go-to resource for building and maintaining reliable, scalable data pipelines.

Wuttichai Kaewlomsap is a Data Engineer at the Bank of Thailand with significant experience in Apache Airflow®. He specializes in orchestrating data workflows and managing complex ETL processes to ensure smooth data operations within the financial sector.

Wuttichai utilizes Airflow to automate and optimize large-scale data pipelines, integrating various tools and services to enhance the efficiency and reliability of the data infrastructure at the Bank of Thailand. His expertise in Airflow has made him a key contributor to data-driven solutions within his organization.

Dustin Wells is a Certified Professional Data Architect and Engineer, specializing in building scalable platforms using containerization, open source technologies, and open standards. He holds the Astronomer Apache Airflow® Fundamentals Certification and leverages Airflow to orchestrate data pipelines for analytics and diverse applications. With expertise in DAGs, Operators, XComs, and Helm charts, Dustin ensures seamless data operations.

After a decade in data architecture and engineering, Dustin discovered Apache Airflow® in 2022 and has since become a strong advocate, driving its adoption through collaboration and maintaining an efficient data platform.

Nilesh is a Certified GCP Data Engineer specializing in Google Cloud Platform services and Apache Airflow. He orchestrates identity resolution processes to transform customer data into unified views, utilizing Airflow features such as DAGs, Operators, and XComs to optimize workflows.

With deep expertise in GCP services like BigQuery, Dataflow, and Cloud Storage, Nilesh delivers efficient, scalable solutions and seamless deployments for clients.

Chandrashekar Althati is a seasoned Data Platform Architect with over 17 years of experience in Data & AI. Currently at Medalogix LLC, Chandrashekar plays a pivotal role in building SaaS products that deliver innovative, data-driven solutions for healthcare, leveraging advanced machine learning to support value-based care. With deep expertise in designing and developing data platforms, they specialize in cloud-based architectures on AWS, Azure, and GCP, along with technologies like Snowflake, Redshift, Docker, Kubernetes, and Terraform.

Over the years, Chandrashekar has held key roles at leading organizations such as Datavant, Deloitte, SAP Labs, Bristlecone, and Capgemini, where they developed cutting-edge AI and data solutions across industries. Chandrashekar holds a U.S. patent for multivariate data classification and earned a gold medal in Statistics from Osmania University.

Kewal has been leveraging Apache Airflow since 2019. He has improved the scheduling logic and reliability of DAGs and utilized Airflow features like TaskFlow, XComs, KubernetesPodOperator, and dynamic DAG generation to make DAGs simpler and more extensible. With around five years of experience in Apache Airflow, Kewal generously guides other teams within the organization by troubleshooting Airflow issues and proposing workflow enhancements, fostering a collaborative and efficient environment. He has helped team members use Airflow efficiently by creating many custom operators. Kewal holds the Astronomer Apache Airflow Fundamentals Certification.