Success Story
Data Warehouse Migration & Automation at Contentsquare
Contentsquare
February 2024
Managed a critical data warehouse migration of over 300 tables, implemented high-performance ETLs, and automated sales KPI reporting for executive committees.
Enterprise Migration
300+ tables migrated with zero downtime
Technologies Used
AWS
Lambda
Redshift
Snowflake
dbt
Python
Dagster
GitHub Actions
ClickHouse
The Challenge
- Complex and large-scale data warehouse migration project involving over 300 tables with tight deadlines.
- Existing data retrieval processes were slow due to API rate limits.
- Manual sales KPI reporting took significant time (1 week per quarter).
- Need to improve data quality and identify issues among millions of rows.
The Solution
- Managed the data warehouse migration project, successfully migrating over 300 tables in 1.5 months (Redshift, Snowflake, dbt, Python).
- Developed high-performance Python ETLs that bypassed API rate limits, accelerating data retrieval.
- Automated sales KPI reporting and monitoring for executive committee reporting.
- Created data quality tests to proactively identify problems in millions of rows.
- Developed an e-commerce data benchmarking algorithm integrated into products.
Results & Impact
- Reduced data warehouse maintenance time by a factor of 10.
- Achieved a 40% reduction in data retrieval time.
- Eliminated 1 week of manual work per quarter for sales reporting.
- Reduced troubleshooting time and improved data reliability.
- Contributed to new product features with data-driven algorithms.
Project Summary
ClientContentsquare
CompletedFebruary 2024
CategoryData Engineering
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