Hire the Top 3% of Apache Airflow Developers in 48 Hours

Satish is a senior data engineer with 20+ years of experience in database and data warehouse projects in both on-premises and cloud environments. He's an expert in designing and developing ETL pipelines using Python and SQL over Cloud Dataflow orchestration with Apache Airflow. He automated the data processing of royalties and copyrights for Universal Music Group. Satish has provided solutions encompassing reports and visualizations, real-time data processing, migrations, and performance tuning.

Nidhin is a big data developer constantly looking for exciting and challenging projects. He has worked most of his career in the data domain and comes with a lot of experience working in cloud ecosystems. Nidhin has worked with various cloud migration projects ranging from Amazon Web Services (AWS) to Google Cloud Platform (GCP), GCP to AWS, AWS to Databricks on AWS, etc. His specialty is mainly on cloud migrations and data warehouse designs.

Julio is a machine learning engineer, specializing in big data analytics. For the past three years, he has helped major companies, such as Fiat Chrysler Automobiles and a Brazilian credit bureau, improve their machine learning platforms. By combining big data and analytics, he has developed machine learning pipelines that run hundreds of machine learning models. In addition to his industry experience, Julio teaches university and other online courses in machine learning and data science.

Ahmed is a principal data engineer with over 13 years of experience with data: pipeline construction, modeling, and visualization for companies like Skyscanner, SumUp, Noon, Floranow, OLX, and IBM. He possesses expert-level skills in Python and SQL. He also has hands-on experience developing infrastructure from scratch for cloud-based and on-premise solutions that scale. Ahmed transforms raw data into actionable insights that ensure products function well.

Ramil is a data engineer with 9+ years of experience with distributed data processing systems and deep knowledge of SQL and relational databases. Ramil is skilled in designing, implementing, and maintaining ETL processes using technologies like Spark and Airflow. He also constructs ML applications using tools like XGBoost, scikit-learn, and SparkML in AWS and GCP cloud environments. Ramil also has some hands-on experience in team and product management. He follows and promotes DevOps principles.

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.

Patrick is a full-stack developer specializing in data engineering, ETL processes, database design and management, analytics, and infrastructure. He's worked with Apache Airflow, Kubernetes and is familiar with GCP and AWS platforms. Patrick has great attention to detail and prefers designing systems for automation and extensibility. Patrick is a strong developer with knowledge of Python, Ruby, PHP, JavaScript, HTML, CSS, SQL, and Terraform.

Tarik is a data engineer and analyst with over six years of experience working with leading technology companies in Dubai, such as Farfetch, Starz Play, and OLX. He is skilled in data architecture, database modeling, ETL, and machine learning (ML). Tarik holds a master's degree in computer science with big data analytics from the University of York. His passion for empowering teams to use data creatively to solve challenging business problems makes him an efficient engineer.

Adit is a skilled developer with seven years of experience in big data and analytics. He is passionate about solving mathematical problems and holds certifications in pivotal domains such as AWS, PySpark, Apache Airflow, Python, Azure, and Snowflake. Adit has adeptly crafted big data applications, simplifying the process for companies to extract valuable insights from their data.

Ayushi is a data engineer with six years of professional experience building data solutions on the cloud. She has expertise in data acquisition, streaming and batch data processing, data migration, software development, and quality assurance. With a strong technical background in Python, SQL, Apache Airflow, and AWS, Ayushi's attention to detail and strategic thinking make her a valuable asset to any team.