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EveryDay Dose
4 months
E commerce and retail
North America
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Every Day Dose is a health and wellness brand specializing in functional mushroom-based coffee alternatives designed to boost focus, mood, and energy. With a strong e-commerce presence, the company blends nutritional science with daily rituals to promote better living. Their operations span online retail, marketing, and subscription services, all supported by data-driven decision-making.
Automated ingestion from Shopify and external systems
Cleaned data pipelines using SQL and Dataform
Unified dashboards for subscriptions and KPIs
Scalable reporting infrastructure using GCP tools
Data Engineer
ETL/Automation Specialist
BI Developer
Project Manager
Hourly Contract
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
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Fragmented data across Shopify, shipping APIs, employee systems
Inconsistent schemas and missing fields across sources
No unified dashboard for customer, subscription, and marketing KPIs
To support sustainable growth and operational visibility, we needed to unify fragmented data across Shopify, HR systems, and shipping APIs into a single, trusted model. Manual processes caused delays and inconsistencies, limiting insights into revenue, churn, and subscription trends. The roadmap focused on automating ingestion, cleaning and transforming raw data, and surfacing KPIs through scalable dashboards empowering teams with the clarity needed to drive strategic decisions as the business expands.
● How do we unify Shopify, attendance, and shipping data into one model?
● How can we automate ingestion and ensure clean, trustworthy data?
● What visibility is needed for growth: subscriptions, churn, revenue?
● Can this scale as the store grows across SKUs and regions?
Modern Data Stack for Scalable Retail Insights
To streamline operations and support company-wide visibility, we built a modular data pipeline leveraging GCP services. Cloud Run jobs automated ingestion from systems like Shopify, HR tools, and shipping APIs.
Dataform was used to model clean, production-ready datasets, which were stored in BigQuery with partitioning to optimize query cost.
Finally, we developed interactive Looker Studio dashboards tailored for marketing, operations, and leadership teams—enabling real-time insights into customer trends, revenue, subscriptions, and fulfillment efficiency.
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records unified from 4+ sources in real time.
hours/month saved through automated reporting
boost in visibility into subscription trends
improvement in campaign ROI tracking accuracy
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML
Reviewed on
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
Reviewed on
Address
150 E B St Lbby # 1810
1106 A, 11th floor, Haly Tower,
Sector R DHA Phase 2, Lahore
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