Our team combines deep technical expertise in modern data engineering tools with a passion for innovation. We're building the future of data pipeline development with DagUI.
Prashobh is a seasoned IT delivery leader with a proven track record of executing complex, high-stakes projects across data engineering, GenAI solutions, and cloud infrastructure. He specializes in large-scale data engineering initiatives, GenAI-powered solutions for banking, fraud detection systems, and cloud architecture on AWS, GCP, and Azure. A University of Edinburgh graduate with certifications in Databricks Spark, GenAI, and GCP Data Engineering.
Sudhin Jacob is a Dual CCIE Network Architect specializing in large-scale network design, testing, and troubleshooting. With deep expertise in Cisco and Juniper platforms, BGP, MPLS, and EVPN-VXLAN, he helps service providers and data centers build reliable networks with reduced MTTR. He focuses on telemetry-driven observability and automation to improve network reliability and recovery times.
Dr. Morris is an Associate Professor in the Digital Futures program at OCAD University and director of the Adaptive Context Environments (ACE) Lab. As Canada Research Chair in the Internet of Things (2018-2023), his research focuses on immersive smart spaces using hybrid mixed reality and IoT architectures. A University of Edinburgh graduate, philosopher, and avid AI enthusiast, he bridges AI, VR/AR, context awareness, and human-agent interaction.
Shak is the Founder of Style8 AI, a virtual try-on Shopify app for fashion retailers. A Ryerson University graduate with a Bachelor's degree in Accounting and Finance and a specialization in Entrepreneurship, he combines financial expertise with innovative AI-driven solutions. Shak provides retail solutions through Style8 AI, while WordJog provides AI and Data Engineering services.
Sai Praveen is a results-driven Analytics Engineer with over 3 years of experience designing, building, and maintaining scalable data pipelines and ETL workflows. He specializes in cloud platforms (GCP, AWS, Azure), big data frameworks like Spark, and programming languages (Python, SQL). A University of Toronto graduate with expertise in revenue operations, product analytics, and customer segmentation.
Our team brings years of production experience with industry-leading data orchestration and processing technologies.
Certified experts in Dagster with production experience building software-defined asset pipelines, I/O managers, and observability dashboards.
Deep expertise in Apache Airflow, including DAG design, custom operators, and managed services like Cloud Composer and MWAA.
Specialists in large-scale data processing with PySpark, optimizing Spark jobs for performance and cost across cloud platforms.
AWS Certified Solutions Architects with expertise in Glue, EMR, MWAA, Redshift, and building petabyte-scale data platforms.
Google Cloud Professional Data Engineers specializing in Composer, Dataproc, BigQuery, and serverless data pipelines.
Azure-certified data engineers with experience in Synapse Analytics, Databricks, Data Factory, and enterprise data platforms.
Let's discuss how our expert team can accelerate your data engineering projects with DagUI.