From data extraction to transformation and visualization, this guide breaks down the key components and tools you need. Whether you're code-first or no-code friendly, it's about creating a system that’s reliable, automated, and built to scale.

Still relying on Excel for reporting? It’s costing your agency time, accuracy, and scalability. This article breaks down the real limitations of spreadsheets and makes the case for automation — from ingesting data to dashboarding. Learn how modern tools can transform your reporting and why moving to automated systems is the smartest next step.

No-code ELT tools spark a fierce debate: innovation for some, a shortcut for others. This article explores why platforms like Airbyte and Fivetran are praised for speed and accessibility — and criticized for compromising control. Ultimately, it's a question of balancing agility, scalability, and long-term data strategy.

Manual reporting is breaking under the weight of growing data sources — it’s time to automate. This article walks small and mid-size businesses through building a simple, scalable data platform using tools like Airbyte, dbt, and Looker Studio. From ingestion to transformation to visualization, learn how to set up a modern reporting stack without overcomplicating it.

This article walks through how to build a Lakehouse architecture on AWS using Delta Lake, Glue, and Athena. From infrastructure-as-code with Terraform to orchestrating ETL jobs via Airflow, the setup mimics a real-world data platform. It’s a cost-effective, scalable solution designed for learning or business use — with the full code available on GitHub.

This article walks through building a complete, automated data platform using RDS, Airbyte, DBT, and Airflow. From ingestion to transformation and orchestration, it’s a real-world example of how to create a scalable pipeline with Snowflake at the center. Perfect for anyone looking to understand modern data engineering workflows without getting lost in the technical weeds.