Case Study

From Chaos to Consistency:Creating a Scalable ETL Frameworkon AWS Glue

Case Study From Chaos to Consistency:Creating a Scalable ETL Frameworkon AWS Glue Author – Parth Pandya Overview As organizations scale, managing data pipelines across multiple systems becomes increasingly complex. For us, AWS Glue provided a powerful platform for building ETL jobs—but over time, we began to see a pattern: similar logic was being duplicated across […]

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Building Trust in Data Migrations withDBT: The Power of audit_helper

Case Study Building Trust in Data Migrations with DBT: The Power of audit_helper During a major dbt refactoring, we faced challenges in ensuring data accuracy—and found a reliable solution in the audit_helper library.Author – Ankit Devani Overview When migrating data to a new warehouse, optimizing dbt models, or cleaning up legacy transformations, even small changes

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Improve Email Deliverability with Custom Tracking Domains

Case Study Improve Email Deliverability with Custom Tracking Domains How we improved inbox placement by 15-20% for a fast-growing email campaign platformAuthor – Sahil Gajjar Overview A fast-growing email campaign platform was facing deliverability issues across major inbox providers. While SPF, DKIM, and DMARC were correctly configured, emails still ended up in spam, especially for

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Cost-Efficient Data Engineering

Case Study Cost-Efficient Data Engineering Optimizing Snowflake Costs for High-Volume Airflow-DBT PipelinesAuthor – Arpan Shah Overview A client was experiencing high Snowflake costs due to inefficiencies in their DBT jobs and warehouse configurations. With over 500+ daily DBT jobs, running for approximately 13 hours with a maximum parallel execution of 39 jobs, optimizing performance while

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Strengthening Dashboard Integrity with Real-Time Data Quality Framework

Strengthening Dashboard Integrity with Real-Time Data Quality Framework Author – Roopali Bhatt Business Impact 85% Fewer Incident Tickets Dashboard-related issue reports dropped significantly. 70% Faster Issue Detection Data problems caught earlier, before impacting decisions. 60% 60% Higher Dashboard Trust User confidence improved based on internal surveys. Problem Statement Our client, a New York-based e-commerce company

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